CHANNEL_NAME stringclasses 2
values | URL stringlengths 43 43 | TITLE stringlengths 18 100 | DESCRIPTION stringlengths 621 5k | TRANSCRIPTION stringlengths 958 84.8k | SEGMENTS stringlengths 1.51k 143k |
|---|---|---|---|---|---|
Generative Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | #glide #openai #diffusion
Diffusion models learn to iteratively reverse a noising process that is applied repeatedly during training. The result can be used for conditional generation as well as various other tasks such as inpainting. OpenAI's GLIDE builds on recent advances in diffusion models and combines text-condi... | Hello there, today we'll look at Glide towards photorealistic image generation and editing with text-guided diffusion models by Alex Nicolle, Prafula Dhariawal, Aditya Ramesh and others of OpenAI. This paper on a high level, well, I'll just show you what you can do. I'm sure you've all seen this paper in one way or an... | [{"start": 0.0, "end": 7.12, "text": " Hello there, today we'll look at Glide towards photorealistic image generation and editing"}, {"start": 7.12, "end": 13.68, "text": " with text-guided diffusion models by Alex Nicolle, Prafula Dhariawal, Aditya Ramesh"}, {"start": 13.68, "end": 19.44, "text": " and others of OpenA... |
Generative Models | https://www.youtube.com/watch?v=qS-iYnp00uc | Parti - Scaling Autoregressive Models for Content-Rich Text-to-Image Generation (Paper Explained) | #parti #ai #aiart
Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model's outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests.
OUTLINE:
0:00 - Introduction
2:40 - Example Outputs
6:00 - Model Archi... | Not a day goes by in AI research in which we don't get a new image generation model these days. So take a look at the top row right here and listen to the prompt that generated them. Oil on canvas painting of a blue night sky with roiling energy. A fuzzy and bright yellow crescent moon shining at the top. Below the ex... | [{"start": 0.0, "end": 7.0, "text": " Not a day goes by in AI research in which we don't get a new image generation model these days."}, {"start": 7.0, "end": 13.0, "text": " So take a look at the top row right here and listen to the prompt that generated them."}, {"start": 13.0, "end": 18.0, "text": " Oil on canvas pa... |
Generative Models | https://www.youtube.com/watch?v=af6WPqvzjjk | [ML News] Text-to-Image models are taking over! (Imagen, DALL-E 2, Midjourney, CogView 2 & more) | #mlnews #dalle #imagen
All things text-to-image models like DALL-E and Imagen!
OUTLINE:
0:00 - Intro
0:30 - Imagen: Google's Text-to-Image Diffusion Model
7:15 - Unified I/O by AllenAI
9:40 - CogView2 is Open-Source
11:05 - Google bans DeepFakes from Colab
13:05 - DALL-E generates real Cosmopolitan cover
15:45 - DAL... | Google releases imagine an unprecedented text to image model, cog view two improves drastically over cog view one and mid journey moves into open beta. Welcome to ML news. Hello, hello and welcome to ML news. Today we talk all about text to image models, text and image models, any sort of artistic models that we might... | [{"start": 0.0, "end": 6.640000000000001, "text": " Google releases imagine an unprecedented text to image model, cog view two improves drastically"}, {"start": 6.640000000000001, "end": 11.6, "text": " over cog view one and mid journey moves into open beta. Welcome to ML news."}, {"start": 15.6, "end": 21.68, "text": ... |
Generative Models | https://www.youtube.com/watch?v=YQ2QtKcK2dA | The Man behind Stable Diffusion | #stablediffusion #ai #stabilityai
An interview with Emad Mostaque, founder of Stability AI.
OUTLINE:
0:00 - Intro
1:30 - What is Stability AI?
3:45 - Where does the money come from?
5:20 - Is this the CERN of AI?
6:15 - Who gets access to the resources?
8:00 - What is Stable Diffusion?
11:40 - What if your model prod... | This is a mud, a mud is very rich, and he wants to put that money to good use. So just a few days ago, he presented something called stable diffusion through an initiative that he finances called stability AI stability AI is supposed to be a third pillar. There's industry, there's academia, and now there's something e... | [{"start": 0.0, "end": 6.5, "text": " This is a mud, a mud is very rich, and he wants to put that money to good use."}, {"start": 6.5, "end": 12.1, "text": " So just a few days ago, he presented something called stable diffusion through an initiative"}, {"start": 12.1, "end": 18.72, "text": " that he finances called st... |
Yannic Kilchner | https://www.youtube.com/watch?v=ZTs_mXwMCs8 | Galactica: A Large Language Model for Science (Drama & Paper Review) | #ai #galactica #meta
Galactica is a language model trained on a curated corpus of scientific documents, such as papers, knowledge bases, reviews, and other articles. The model can be used in a generative fasion to assist scientific writing, do reference prediction, and much more, including a new approach to do step-by... | Hello, this video starts out with a review of the drama around the public demo of the Galactica model, and then goes into a paper review. If you're not in the mood for any drama, skip ahead about 16 minutes and you'll be fine. Hello there, Galactica is a model a language model by Meta AI that is trained specifically o... | [{"start": 0.0, "end": 5.92, "text": " Hello, this video starts out with a review of the drama around the public demo of the Galactica"}, {"start": 5.92, "end": 10.64, "text": " model, and then goes into a paper review. If you're not in the mood for any drama,"}, {"start": 10.64, "end": 18.56, "text": " skip ahead abou... |
Yannic Kilchner | https://www.youtube.com/watch?v=TOo-HnjjuhU | [ML News] Multiplayer Stable Diffusion | OpenAI needs more funding | Text-to-Video models incoming | #mlnews #ai #mlinpl
Your news from the world of Machine Learning!
OUTLINE:
0:00 - Introduction
1:25 - Stable Diffusion Multiplayer
2:15 - Huggingface: DOI for Models & Datasets
3:10 - OpenAI asks for more funding
4:25 - The Stack: Source Code Dataset
6:30 - Google Vizier Open-Sourced
7:10 - New Models
11:50 - Helpful... | A lot of text to video models have recently come out, but not only that, a lot of other stuff has happened too, such as multiplayer stable diffusion and OpenAI is looking for even more money from Microsoft. Stay tuned. This is ML News. Hello everyone. As you can see, I'm not in my usual setting. I'm actually currently... | [{"start": 0.0, "end": 5.54, "text": " A lot of text to video models have recently come out, but not only that, a lot of other"}, {"start": 5.54, "end": 12.18, "text": " stuff has happened too, such as multiplayer stable diffusion and OpenAI is looking for"}, {"start": 12.18, "end": 14.68, "text": " even more money fro... |
Yannic Kilchner | https://www.youtube.com/watch?v=W5M-dvzpzSQ | The New AI Model Licenses have a Legal Loophole (OpenRAIL-M of BLOOM, Stable Diffusion, etc.) | #ai #stablediffusion #license
So-called responsible AI licenses are stupid, counterproductive, and have a dangerous legal loophole in them.
OpenRAIL++ License here: https://www.ykilcher.com/license
OUTLINE:
0:00 - Introduction
0:40 - Responsible AI Licenses (RAIL) of BLOOM and Stable Diffusion
3:35 - Open source so... | The new responsible AI licenses that models like stable diffusion or bloom have are stupid. They conflict with open source principles. In fact, they're distinctly not open source, and they have a glaring legal loophole in them. So join me as we'll explore the fun world of model licensing. So first things first, I am n... | [{"start": 0.0, "end": 8.02, "text": " The new responsible AI licenses that models like stable diffusion or bloom have are stupid."}, {"start": 8.02, "end": 10.24, "text": " They conflict with open source principles."}, {"start": 10.24, "end": 15.42, "text": " In fact, they're distinctly not open source, and they have ... |
Yannic Kilchner | https://www.youtube.com/watch?v=_NMQyOu2HTo | ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview) | #ai #language #knowledge
Large Language Models have the ability to store vast amounts of facts about the world. But little is known, how these models actually do this. This paper aims at discovering the mechanism and location of storage and recall of factual associations in GPT models, and then proposes a mechanism f... | Hello, today we're talking about locating and editing factual associations in GPT by Kevin Meng, David Bao, Alex Andonian and Jonathan Belenkov. In this paper, the authors attempt to localize where in a forward pass through a language model an actual fact is located or where it is realized. For example, something like... | [{"start": 0.0, "end": 5.84, "text": " Hello, today we're talking about locating and editing factual associations in GPT by Kevin"}, {"start": 5.84, "end": 13.44, "text": " Meng, David Bao, Alex Andonian and Jonathan Belenkov. In this paper, the authors attempt to"}, {"start": 13.44, "end": 22.48, "text": " localize wh... |
Yannic Kilchner | https://www.youtube.com/watch?v=igS2Wy8ur5U | Is Stability turning into OpenAI? | #stablediffusion #aiart #openai
Stability AI has stepped into some drama recently. They are accused of a hostile takeover of the community-led sub-reddits and Discord servers, of going after an alternative web UI, and of falsely dealing out IP takedown notices.
OUTLINE:
0:00 - Intro
2:40 - Stability takes over commu... | stability AI has a few growing pains in the recent weeks, they found themselves in multiple controversies. And we're going to look at them in detail today. Yahoo Finance writes stability AI, the startup behind stable diffusion raises 101 million US dollars. Now I've done previously a video on stable diffusion, which i... | [{"start": 0.0, "end": 6.8, "text": " stability AI has a few growing pains in the recent weeks, they found themselves in multiple"}, {"start": 6.8, "end": 12.8, "text": " controversies. And we're going to look at them in detail today. Yahoo Finance writes stability AI,"}, {"start": 12.8, "end": 18.72, "text": " the sta... |
Yannic Kilchner | https://www.youtube.com/watch?v=_okxGdHM5b8 | Neural Networks are Decision Trees (w/ Alexander Mattick) | #neuralnetworks #machinelearning #ai
Alexander Mattick joins me to discuss the paper "Neural Networks are Decision Trees", which has generated a lot of hype on social media. We ask the question: Has this paper solved one of the large mysteries of deep learning and opened the black-box neural networks up to interpreta... | Hello everyone, today we're talking about neural networks and decision trees. I have Alexander Madic with me, who is, maybe you want to introduce yourself. Yeah, I'm currently a student at FAU in Germany, and most people don't know me probably through Janek, through his Discord, where I'm one of the people who manage ... | [{"start": 0.0, "end": 10.5, "text": " Hello everyone, today we're talking about neural networks and decision trees. I have Alexander Madic with me, who is, maybe you want to introduce yourself."}, {"start": 10.5, "end": 19.5, "text": " Yeah, I'm currently a student at FAU in Germany, and most people don't know me prob... |
Yannic Kilchner | https://www.youtube.com/watch?v=3N3Bl5AA5QU | This is a game changer! (AlphaTensor by DeepMind explained) | #alphatensor #deepmind #ai
Matrix multiplication is the most used mathematical operation in all of science and engineering. Speeding this up has massive consequences. Thus, over the years, this operation has become more and more optimized. A fascinating discovery was made when it was shown that one actually needs les... | Hello there. Today DeepMind published a new paper called AlphaTensor. This is a system that speeds up matrix multiplications of all things. Now, I know it sounds a bit boring to speed up matrix multiplications. That's like not as flashy as some of the other things DeepMind has done. But since matrix multiplications ar... | [{"start": 0.0, "end": 8.32, "text": " Hello there. Today DeepMind published a new paper called AlphaTensor. This is a system that speeds"}, {"start": 8.32, "end": 14.32, "text": " up matrix multiplications of all things. Now, I know it sounds a bit boring to speed up matrix"}, {"start": 14.32, "end": 20.0, "text": " m... |
Yannic Kilchner | https://www.youtube.com/watch?v=S-7r0-oysaU | [ML News] OpenAI's Whisper | Meta Reads Brain Waves | AI Wins Art Fair, Annoys Humans | #mlnews #openai #ai
Everything important going on in the ML world right here!
Sponsor: Paperspace
https://www.paperspace.com/?src=yannic
OUTLINE:
0:00 - Introduction
0:20 - Whisper: Open-Source Speech Transcription
6:30 - Sponsor: Paperspace
9:30 - Meta: How the brain hears audio
11:25 - PyTorch moves to Linux Foun... | OpenAI releases whisper to open source, pytorch moves to the Linux foundation and meta can read your brainwaves. Welcome to ML. Hello, welcome to ML news. It's a glorious Monday, let's jump into our first story. We have a lot of stories today. The first one is open AI release a blog post called introducing whisper. wh... | [{"start": 0.0, "end": 5.68, "text": " OpenAI releases whisper to open source, pytorch moves to the Linux foundation and"}, {"start": 5.68, "end": 15.76, "text": " meta can read your brainwaves. Welcome to ML. Hello, welcome to ML news. It's a glorious Monday,"}, {"start": 15.76, "end": 21.92, "text": " let's jump into... |
Yannic Kilchner | https://www.youtube.com/watch?v=xbxe-x6wvRw | [ML News] Stable Diffusion Takes Over! (Open Source AI Art) | #stablediffusion #aiart #mlnews
Stable Diffusion has been released and is riding a wave of creativity and collaboration. But not everyone is happy about this...
Sponsor: NVIDIA
GPU Raffle: https://ykilcher.com/gtc
OUTLINE:
0:00 - Introduction
0:30 - What is Stable Diffusion?
2:25 - Open-Source Contributions and Cre... | Stable diffusion has been released to the public and the world is creative as never before. It's an explosion of creativity, collaboration and open improvement, but not everyone is happy. Today, we'll look at how stable diffusion works, how it impacts the world and what people say about it. Welcome to a special editio... | [{"start": 0.0, "end": 6.68, "text": " Stable diffusion has been released to the public and the world is creative as never before."}, {"start": 6.68, "end": 13.32, "text": " It's an explosion of creativity, collaboration and open improvement, but not everyone is"}, {"start": 13.32, "end": 14.32, "text": " happy."}, {"s... |
Yannic Kilchner | https://www.youtube.com/watch?v=0PAiQ1jTN5k | How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit | #ai #sparsity #gpu
Sparsity is awesome, but only recently has it become possible to properly handle sparse models at good performance. Neural Magic does exactly this, using a plain CPU. No specialized hardware needed, just clever algorithms for pruning and forward-propagation of neural networks. Nir Shavit and I talk... | Today I'm talking to Nir Shavit about sparsity. Nir has been long time active in the field as a professor at Technion and MIT and has also been awarded with various prizes such as the Gödel Prize in 2004 and the Dijkstra Prize in 2012. He's also founder of a company called Neuralmagic that questions one of the fundame... | [{"start": 0.0, "end": 5.6000000000000005, "text": " Today I'm talking to Nir Shavit about sparsity. Nir has been long time active in the field as"}, {"start": 5.6000000000000005, "end": 11.200000000000001, "text": " a professor at Technion and MIT and has also been awarded with various prizes such as the"}, {"start": ... |
Yannic Kilchner | https://www.youtube.com/watch?v=K-cXYoqHxBc | More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers (w/ Jacob Steinhardt) | #ai #interview #research
Jacob Steinhardt believes that future AI systems will be qualitatively different than the ones we know currently. We talk about how emergence happens when scaling up, what implications that has on AI Safety, and why thought experiments like the Paperclip Maximizer might be more useful than mo... | Hi, this is an interview with Jacob Steinhard, who is the author of a blog post series called more is different for AI more is different is the title of a famous paper in science from 1972 by Philip Warren Anderson, a Nobel Prize winner in physics. The article is generally on the theme of emergent phenomenon when scal... | [{"start": 0.0, "end": 5.76, "text": " Hi, this is an interview with Jacob Steinhard, who is the author of a blog post series called"}, {"start": 5.76, "end": 12.14, "text": " more is different for AI more is different is the title of a famous paper in science"}, {"start": 12.14, "end": 17.62, "text": " from 1972 by Ph... |
Yannic Kilchner | https://www.youtube.com/watch?v=2ethDz9KnLk | The hidden dangers of loading open-source AI models (ARBITRARY CODE EXPLOIT!) | #huggingface #pickle #exploit
Did you know that something as simple as loading a model can execute arbitrary code on your machine?
Try the model: https://huggingface.co/ykilcher/totally-harmless-model
Get the code: https://github.com/yk/patch-torch-save
Sponsor: Weights & Biases
Go here: https://wandb.me/yannic
OU... | Well, what do we have here? Totally harmless model. I kind of wonder what it is seems to be kind of a distilbert recent version of transformers flow 32. I like this model. The Hugging Face hub makes it very easy to try machine learning models. So let's let's give that a go. Python shell. Import auto model model equals... | [{"start": 0.0, "end": 7.4, "text": " Well, what do we have here? Totally harmless model. I kind of wonder what it is seems to"}, {"start": 7.4, "end": 13.88, "text": " be kind of a distilbert recent version of transformers flow 32. I like this model. The"}, {"start": 13.88, "end": 18.66, "text": " Hugging Face hub mak... |
Yannic Kilchner | https://www.youtube.com/watch?v=_7xpGve9QEE | The Future of AI is Self-Organizing and Self-Assembling (w/ Prof. Sebastian Risi) | #ai #selforganization #emergence
Read Sebastian's article here: https://sebastianrisi.com/self_assembling_ai/
OUTLINE:
0:00 - Introduction
2:25 - Start of Interview
4:00 - The intelligence of swarms
9:15 - The game of life & neural cellular automata
14:10 - What's missing from neural CAs?
17:20 - How does local compu... | Hey there, today I'm talking to Sebastian Risi, who is the director of the Creative AI Lab and a co director of the robotics, evolution and art lab at the IT University of Copenhagen. He's also the co founder of a company called model AI that uses AI for various aspects of game development. Specifically, today we're g... | [{"start": 0.0, "end": 4.64, "text": " Hey there, today I'm talking to Sebastian Risi, who is the director of the Creative AI Lab and"}, {"start": 4.64, "end": 10.24, "text": " a co director of the robotics, evolution and art lab at the IT University of Copenhagen. He's also"}, {"start": 10.24, "end": 16.24000000000000... |
Yannic Kilchner | https://www.youtube.com/watch?v=_9aN1-0T8hg | [ML News] AI models that write code (Copilot, CodeWhisperer, Pangu-Coder, etc.) | #mlnews #ai #copilot
OUTLINE:
0:00 - Intro
0:20 - Copilot Now Generally Available
3:20 - FOSS Org leaves GitHub
6:45 - Google's Internal ML Code Completion
9:10 - AI Trains Itself to Code Better
14:30 - Amazon CodeWhisperer in Preview
15:15 - Pangu-Coder: A New Coding Model
17:10 - Useful Things
References:
Copilot ... | GitHub Copilot is now available to all developers while a big open source community is leaving it behind. But not only GitHub, but also Google and Amazon are jumping into the game of AI assisted source code generation. Welcome to ML News. Welcome to ML News. Today we talk all about models that generate source code and... | [{"start": 0.0, "end": 5.84, "text": " GitHub Copilot is now available to all developers while a big open source community is leaving it"}, {"start": 5.84, "end": 10.8, "text": " behind. But not only GitHub, but also Google and Amazon are jumping into the game of AI"}, {"start": 10.8, "end": 20.32, "text": " assisted s... |
Yannic Kilchner | https://www.youtube.com/watch?v=xnChXNUNS2A | [ML News] This AI completes Wikipedia! Meta AI Sphere | Google Minerva | GPT-3 writes a paper | #mlnews #ai #minerva
This episode is all about models that reason.
OUTLINE:
0:00 - Intro
0:35 - Meta AI learns Wikipedia citations
5:25 - Google's Minerva solves math problems by reading papers
9:10 - GPT-3 writes a paper on itself
13:35 - Jürgen Schmidhuber prompts LeCun for missing citations
References:
Meta AI l... | Meta AI releases a model that can check Wikipedia citations for accuracy. Google research releases a model that can solve math problems just by reading research papers and GPT-3 writes a paper about itself. Welcome to ML News. I was going to start the news but I had word dully open from last time and I'm pretty sure i... | [{"start": 0.0, "end": 6.72, "text": " Meta AI releases a model that can check Wikipedia citations for accuracy. Google research releases"}, {"start": 6.72, "end": 12.64, "text": " a model that can solve math problems just by reading research papers and GPT-3 writes a"}, {"start": 12.64, "end": 22.88, "text": " paper a... |
Yannic Kilchner | https://www.youtube.com/watch?v=W3mrgqtm5R4 | [ML News] BLOOM: 176B Open-Source | Chinese Brain-Scale Computer | Meta AI: No Language Left Behind | #mlnews #bloom #ai
Today we look at all the recent giant language models in the AI world!
OUTLINE:
0:00 - Intro
0:55 - BLOOM: Open-Source 176B Language Model
5:25 - YALM 100B
5:40 - Chinese Brain-Scale Supercomputer
7:25 - Meta AI Translates over 200 Languages
10:05 - Reproducibility Crisis Workshop
10:55 - AI21 Rai... | bloom finishes training and is now released as the biggest open source language model to date. A new Chinese supercomputer is allegedly able to compute brain scale AI models. And both Ian Goodfellow and Andre corpati leave their jobs. Welcome to ML news. Hello and welcome everyone to ML news rather ml old I've been go... | [{"start": 0.56, "end": 6.4, "text": " bloom finishes training and is now released as the biggest open source language model to date."}, {"start": 6.96, "end": 12.96, "text": " A new Chinese supercomputer is allegedly able to compute brain scale AI models."}, {"start": 13.6, "end": 19.28, "text": " And both Ian Goodfel... |
Yannic Kilchner | https://www.youtube.com/watch?v=jSdHmImyUjk | JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained) | #jepa #ai #machinelearning
Yann LeCun's position paper on a path towards machine intelligence combines Self-Supervised Learning, Energy-Based Models, and hierarchical predictive embedding models to arrive at a system that can teach itself to learn useful abstractions at multiple levels and use that as a world model t... | Hello there, today we're looking at a path towards autonomous machine intelligence by Jan LeCun, also called the JEPA paper. Actually I think only I call it the JEPA paper, but JEPA is a new architecture that Jan LeCun proposes as a part of this paper and we're going to go into it as he himself describes it as the cor... | [{"start": 0.0, "end": 5.2, "text": " Hello there, today we're looking at a path towards autonomous machine intelligence by"}, {"start": 5.2, "end": 8.44, "text": " Jan LeCun, also called the JEPA paper."}, {"start": 8.44, "end": 15.36, "text": " Actually I think only I call it the JEPA paper, but JEPA is a new archite... |
Yannic Kilchner | https://www.youtube.com/watch?v=oz5yZc9ULAc | Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos (Paper Explained) | #openai #vpt #minecraft
Minecraft is one of the harder challenges any RL agent could face. Episodes are long, and the world is procedurally generated, complex, and huge. Further, the action space is a keyboard and a mouse, which has to be operated only given the game's video input. OpenAI tackles this challenge using... | Hi there, today we'll talk about video pre training, learning to act by watching unlabeled online videos. This is by a team out of OpenAI and is the first system that successfully crafts a diamond pickaxe in Minecraft. So apart from humans, obviously. So Minecraft has been sort of a test bed for reinforcement learning... | [{"start": 0.56, "end": 5.68, "text": " Hi there, today we'll talk about video pre training, learning to act by watching unlabeled"}, {"start": 5.68, "end": 14.16, "text": " online videos. This is by a team out of OpenAI and is the first system that successfully crafts"}, {"start": 14.16, "end": 21.52, "text": " a diam... |
Yannic Kilchner | https://www.youtube.com/watch?v=mIZLGBD99iU | Did Google's LaMDA chatbot just become sentient? | #lamda #google #ai
Google engineer Blake Lemoine was put on leave after releasing proprietary information: An interview with the chatbot LaMDA that he believes demonstrates that this AI is, in fact, sentient. We analyze the claims and the interview in detail and trace how a statistical machine managed to convince at ... | Google engineer put on leave after saying AI chatbot has become sentient. This at least according to this Guardian article right here, Blake Lemoine, who is an engineer at Google has been put on leave because of sharing proprietary information. That proprietary information is an interview that he and a collaborator ha... | [{"start": 0.0, "end": 7.44, "text": " Google engineer put on leave after saying AI chatbot has become sentient. This at least according"}, {"start": 7.44, "end": 14.08, "text": " to this Guardian article right here, Blake Lemoine, who is an engineer at Google has been put on leave"}, {"start": 14.08, "end": 21.04, "te... |
Yannic Kilchner | https://www.youtube.com/watch?v=efPrtcLdcdM | GPT-4chan: This is the worst AI ever | #gpt4chan #4chan #ai
GPT-4chan was trained on over 3 years of posts from 4chan's "politically incorrect" (/pol/) board.
(and no, this is not GPT-4)
EXTRA VIDEO HERE: https://www.youtube.com/watch?v=dQw4w9WgXcQ
Website (try the model here): https://gpt-4chan.com
Model (no longer available): https://huggingface.co/yk... | I trained an AI language model on three years worth of 4chan posts, I put the model into a chatbot. And in just a few days, it created 1000s of posts on the site as people slowly noticed that something strange is going on. I released the model the code and I evaluated the model on a huge set of benchmarks. And it turn... | [{"start": 0.0, "end": 5.48, "text": " I trained an AI language model on three years worth of 4chan posts, I put the model into"}, {"start": 5.48, "end": 6.48, "text": " a chatbot."}, {"start": 6.48, "end": 11.8, "text": " And in just a few days, it created 1000s of posts on the site as people slowly noticed"}, {"start... |
Yannic Kilchner | https://www.youtube.com/watch?v=smUHQndcmOY | [ML News] DeepMind's Flamingo Image-Text model | Locked-Image Tuning | Jurassic X & MRKL | #flamingo #mlnews #tech
Your updates directly from the state of the art in Machine Learning!
OUTLINE:
0:00 - Intro
0:30 - DeepMind's Flamingo: Unified Vision-Language Model
8:25 - LiT: Locked Image Tuning
10:20 - Jurassic X & MRKL Systems
15:05 - Helpful Things
22:40 - This AI does not exist
References:
DeepMind's F... | DeepMind releases a system called Flamingo, Google releases a system called LUT and AI21 labs releases a system that's called Miracle. It's a fun week. Welcome to ML news. Have fun. Hey there, my name is Janek. Welcome to the channel. This is already part two of this week's news. I've done part one released it a few d... | [{"start": 0.0, "end": 6.4, "text": " DeepMind releases a system called Flamingo, Google releases a system called LUT and AI21"}, {"start": 6.4, "end": 12.16, "text": " labs releases a system that's called Miracle. It's a fun week. Welcome to ML news. Have fun."}, {"start": 16.4, "end": 21.2, "text": " Hey there, my na... |
Yannic Kilchner | https://www.youtube.com/watch?v=pwSnC8jlh50 | [ML News] Meta's OPT 175B language model | DALL-E Mega is training | TorToiSe TTS fakes my voice | #mlnews #dalle #gpt3
An inside look of what's happening in the ML world!
Sponsor: Weights & Biases
https://wandb.me/yannic
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
1:40 - Meta AI releases OPT-175B
4:55 - CoCa: New CLIP-Competitor
8:15 - DALL-E Mega is training
10:05 - TorToiSe TTS is amazing!
11:50 - I... | Meta builds and releases a 175 billion parameter language model, a contrastive captioning model out competes clip and the open source Dali mega looks better and better every day it trains. Welcome to ML news. This video is sponsored by weights and biases. If you don't know weights and biases, you're clearly missing ou... | [{"start": 0.0, "end": 7.48, "text": " Meta builds and releases a 175 billion parameter language model, a contrastive captioning model"}, {"start": 7.48, "end": 13.280000000000001, "text": " out competes clip and the open source Dali mega looks better and better every day it"}, {"start": 13.280000000000001, "end": 14.2... |
Yannic Kilchner | https://www.youtube.com/watch?v=Pm93D8CVlY8 | This A.I. creates infinite NFTs | #nft #gan #ai
Today we build our own AI that can create as many bored apes as we want! Fungibility for everyone!
Try the model here: https://huggingface.co/spaces/ykilcher/apes
or here: https://ykilcher.com/apes
Files & Models here: https://huggingface.co/ykilcher/apes/tree/main
Code here: https://github.com/yk/apes-... | This ape does not exist. Neither does this one, this one, this, this, this or this. In fact, I've created all of them using an AI that I trained myself. And today I'm going to show you how it's done and what other cool things you can do with this. Hi there, my name is Janek, welcome to the channel. Today I'm going to ... | [{"start": 0.0, "end": 6.16, "text": " This ape does not exist. Neither does this one, this one, this, this, this or this. In fact,"}, {"start": 6.16, "end": 10.56, "text": " I've created all of them using an AI that I trained myself. And today I'm going to show"}, {"start": 10.56, "end": 15.200000000000001, "text": " ... |
Yannic Kilchner | https://www.youtube.com/watch?v=X4S8F3bwuuw | Author Interview: SayCan - Do As I Can, Not As I Say: Grounding Language in Robotic Affordances | #saycan #robots #ai
This is an interview with the authors Brian Ichter, Karol Hausman, and Fei Xia.
Original Paper Review Video: https://youtu.be/Ru23eWAQ6_E
Large Language Models are excellent at generating plausible plans in response to real-world problems, but without interacting with the environment, they have no ... | So today we're here with three of the authors of this paper with I have to say a lot of authors. It seems like a giant work just from what I could gather from the from the paper itself and the data collection and the evaluation and so on. So this was a huge thing, but the results are pretty cool. So here with me today... | [{"start": 0.0, "end": 29.32, "text": " So today we're here with three of the authors of this paper with I have to say a lot of authors. It seems like a giant work just from what I could gather from the from the paper itself and the data collection and the evaluation and so on. So this was a huge thing, but the results... |
Yannic Kilchner | https://www.youtube.com/watch?v=Ru23eWAQ6_E | Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (SayCan - Paper Explained) | #saycan #robots #ai
Large Language Models are excellent at generating plausible plans in response to real-world problems, but without interacting with the environment, they have no abilities to estimate which of these plans are feasible or appropriate. SayCan combines the semantic capabilities of language models with ... | Hi there, check out this video. So there's a Coke can and there's a spill, a Coke spill. So the instructor here says, I spilled my Coke on the table. How would you throw it away and bring me something to help clean? So the robot here forms a plan as it goes about it. First, it says, I would find the Coke can. Then sec... | [{"start": 0.0, "end": 7.28, "text": " Hi there, check out this video. So there's a Coke can and there's a spill, a Coke spill."}, {"start": 7.28, "end": 13.6, "text": " So the instructor here says, I spilled my Coke on the table. How would you throw it away and bring"}, {"start": 13.6, "end": 19.04, "text": " me somet... |
Yannic Kilchner | https://www.youtube.com/watch?v=16BsJI5I-Yw | Author Interview - ACCEL: Evolving Curricula with Regret-Based Environment Design | #ai #accel #evolution
This is an interview with the authors Jack Parker-Holder and Minqi Jiang.
Original Paper Review Video: https://www.youtube.com/watch?v=povBDxUn1VQ
Automatic curriculum generation is one of the most promising avenues for Reinforcement Learning today. Multiple approaches have been proposed, each w... | Hi, this is an interview with the authors of the paper evolving curricula with regret based environment design. If you haven't seen it, I've made a review of this paper yesterday, the day before this video is released, and I went over the paper in detail and explained what's inside of it. So if you haven't seen that i... | [{"start": 0.0, "end": 5.28, "text": " Hi, this is an interview with the authors of the paper evolving curricula with regret based"}, {"start": 5.28, "end": 10.0, "text": " environment design. If you haven't seen it, I've made a review of this paper yesterday,"}, {"start": 10.56, "end": 15.36, "text": " the day before ... |
Yannic Kilchner | https://www.youtube.com/watch?v=povBDxUn1VQ | ACCEL: Evolving Curricula with Regret-Based Environment Design (Paper Review) | #ai #accel #evolution
Automatic curriculum generation is one of the most promising avenues for Reinforcement Learning today. Multiple approaches have been proposed, each with their own set of advantages and drawbacks. This paper presents ACCEL, which takes the next step into the direction of constructing curricula for... | Check this out. What you're seeing here is a bunch of agents that have all never seen this level before. This level is in fact procedurally generated and the agents must somehow overcome the obstacles right here. You can see there's stumps, there's gaps. The green one is performing pretty well right here. Coincidental... | [{"start": 0.0, "end": 2.0, "text": " Check this out."}, {"start": 2.0, "end": 7.8, "text": " What you're seeing here is a bunch of agents that have all never seen this level before."}, {"start": 7.8, "end": 14.4, "text": " This level is in fact procedurally generated and the agents must somehow overcome the obstacles ... |
Yannic Kilchner | https://www.youtube.com/watch?v=AIOE1l1W0Tw | LAION-5B: 5 billion image-text-pairs dataset (with the authors) | #laion #clip #dalle
LAION-5B is an open, free dataset consisting of over 5 billion image-text-pairs. Today's video is an interview with three of its creators. We dive into the mechanics and challenges of operating at such large scale, how to keep cost low, what new possibilities are enabled with open datasets like thi... | Hi, this is an interview with people from Lyon whose flagship projects are data sets, specifically data sets to train models like Dali or clip. So pictures and text that goes along with the pictures, they scrape these from big internet scrapes. The first data set had 400 million images and their newest data set has 5 ... | [{"start": 0.0, "end": 5.28, "text": " Hi, this is an interview with people from Lyon whose flagship projects are data sets,"}, {"start": 5.28, "end": 12.08, "text": " specifically data sets to train models like Dali or clip. So pictures and text that goes along with"}, {"start": 12.08, "end": 18.0, "text": " the pictu... |
Yannic Kilchner | https://www.youtube.com/watch?v=ccBMRryxGog | Sparse Expert Models (Switch Transformers, GLAM, and more... w/ the Authors) | #nlp #sparsity #transformers
This video is an interview with Barret Zoph and William Fedus of Google Brain about Sparse Expert Models.
Sparse Expert models have been hugely successful at distributing parts of models, mostly Transformers, across large array of machines and use a routing function to effectively route si... | Hello, today I'm having an interview about the topic of sparse experts. Now, ironically, the people are absolute experts in this type of models. These models, they are huge, they're usually language models, but they don't have to be they're usually transformers, but they don't have to be what they do have in common is... | [{"start": 0.0, "end": 5.28, "text": " Hello, today I'm having an interview about the topic of sparse experts. Now, ironically,"}, {"start": 5.28, "end": 11.200000000000001, "text": " the people are absolute experts in this type of models. These models, they are huge, they're"}, {"start": 11.200000000000001, "end": 15.... |
Yannic Kilchner | https://www.youtube.com/watch?v=C7mUYocWdG0 | Author Interview - Transformer Memory as a Differentiable Search Index | #neuralsearch #interview #google
This is an interview with the authors Yi Tay and Don Metzler.
Paper Review Video: https://youtu.be/qlB0TPBQ7YY
Search engines work by building an index and then looking up things in it. Usually, that index is a separate data structure. In keyword search, we build and store reverse ind... | This is an interview with the authors of the paper transformer memory as a differentiable search index. I have done a comprehensive review of this paper yesterday I've released it just before this video so be sure to check that out. The authors today have actually seen my review and we'll dive right into the matter. D... | [{"start": 0.0, "end": 5.5200000000000005, "text": " This is an interview with the authors of the paper transformer memory as a differentiable search"}, {"start": 5.5200000000000005, "end": 11.52, "text": " index. I have done a comprehensive review of this paper yesterday I've released it just before this"}, {"start": ... |
Yannic Kilchner | https://www.youtube.com/watch?v=qlB0TPBQ7YY | Transformer Memory as a Differentiable Search Index (Machine Learning Research Paper Explained) | #dsi #search #google
Search engines work by building an index and then looking up things in it. Usually, that index is a separate data structure. In keyword search, we build and store reverse indices. In neural search, we build nearest-neighbor indices. This paper does something different: It directly trains a Transfo... | This is a comprehensive paper review of the paper transformer memory as a differentiable search index. This paper is pretty crazy. It takes an entire data set and puts it into the weights of a transformer. Essentially, it trains a search engine not to search through documents, but just to give you the index of the doc... | [{"start": 0.0, "end": 6.4, "text": " This is a comprehensive paper review of the paper transformer memory as a differentiable search index."}, {"start": 6.4, "end": 8.0, "text": " This paper is pretty crazy."}, {"start": 8.0, "end": 12.200000000000001, "text": " It takes an entire data set and puts it into the weights... |
Yannic Kilchner | https://www.youtube.com/watch?v=RJwPN4qNi_Y | [ML News] Google's 540B PaLM Language Model & OpenAI's DALL-E 2 Text-to-Image Revolution | #mlnews #palm #dalle2
Google releases PaLM and OpenAI releases DALL-E 2 (and more news).
Sponsor: Weights & BIases
Start here: https://wandb.me/yannic
Thumbnail credit: DALL-E 2 via Sam Altman
OUTLINE
0:00 - Street interview w/ random stranger
2:25 - Intro
2:50 - PaLM - Google's 540B Pathways Language Model
7:50 - ... | So, I was wondering what happens if you just ask some random people on the street about this paper and actually... Sir, sir, excuse me sir. Hi, how are you doing? I was wondering what do you think about this new paper by Google, this palm paper, however they call it. The palm paper? You mean the latest large language ... | [{"start": 0.0, "end": 5.14, "text": " So, I was wondering what happens if you just ask some random people on the street about"}, {"start": 5.14, "end": 7.2, "text": " this paper and actually..."}, {"start": 7.2, "end": 10.4, "text": " Sir, sir, excuse me sir."}, {"start": 10.4, "end": 12.08, "text": " Hi, how are you ... |
Yannic Kilchner | https://www.youtube.com/watch?v=DdkenV-ZdJU | The Weird and Wonderful World of AI Art (w/ Author Jack Morris) | #aiart #deeplearning #clip
Since the release of CLIP, the world of AI art has seen an unprecedented level of acceleration in what's possible to do. Whereas image generation had previously been mostly in the domain of scientists, now a community of professional artists, researchers, and amateurs are sending around cola... | Hi, this is an interview with Jack Morris, who is a PhD student at Cornell in natural language processing. However, Jack has a really cool blog, and he's written a piece called the weird and wonderful world of AI art, which we're going to discuss today. Now, as I said, Jack is a PhD student in NLP. But for this blog p... | [{"start": 0.0, "end": 11.32, "text": " Hi, this is an interview with Jack Morris, who is a PhD student at Cornell in natural"}, {"start": 11.32, "end": 16.48, "text": " language processing. However, Jack has a really cool blog, and he's written a piece called"}, {"start": 16.48, "end": 22.52, "text": " the weird and w... |
Yannic Kilchner | https://www.youtube.com/watch?v=z4lAlVRwbrc | Author Interview - Improving Intrinsic Exploration with Language Abstractions | #reinforcementlearning #ai #explained
This is an interview with Jesse Mu, first author of the paper.
Original Paper Review: https://youtu.be/NeGJAUSQEJI
Exploration is one of the oldest challenges for Reinforcement Learning algorithms, with no clear solution to date. Especially in environments with sparse rewards, ag... | Hello, this is an interview with Jesse Mu, who is the first author of the paper improving intrinsic exploration with language abstractions. This paper is really cool because it combines the knowledge that is inherent in language with the problem of exploration in reinforcement learning. I've made a comprehensive revie... | [{"start": 0.0, "end": 10.48, "text": " Hello, this is an interview with Jesse Mu, who is the first author of the paper improving"}, {"start": 10.48, "end": 16.3, "text": " intrinsic exploration with language abstractions. This paper is really cool because it combines"}, {"start": 16.3, "end": 21.76, "text": " the know... |
Yannic Kilchner | https://www.youtube.com/watch?v=NeGJAUSQEJI | Improving Intrinsic Exploration with Language Abstractions (Machine Learning Paper Explained) | #reinforcementlearning #ai #explained
Exploration is one of the oldest challenges for Reinforcement Learning algorithms, with no clear solution to date. Especially in environments with sparse rewards, agents face significant challenges in deciding which parts of the environment to explore further. Providing intrinsic ... | Hi there, this is a comprehensive paper review on the paper Improving Intrinsic Exploration with Language Abstractions. This is a very cool paper because it combines a language and the information that is in language with reinforcement learning, specifically the problem of exploration. I don't want to tell you too muc... | [{"start": 0.0, "end": 11.040000000000001, "text": " Hi there, this is a comprehensive paper review on the paper Improving Intrinsic Exploration"}, {"start": 11.040000000000001, "end": 17.04, "text": " with Language Abstractions. This is a very cool paper because it combines a language"}, {"start": 17.04, "end": 22.36,... |
Yannic Kilchner | https://www.youtube.com/watch?v=vGFaiLeoLWw | [ML News] GPT-3 learns to edit | Google Pathways | Make-A-Scene | CLIP meets GamePhysics | DouBlind | #mlnews #gpt3 #pathways
Your updates on the latest and greatest from the depths of Machine Learning!
Sponsor: Weights & Biases
https://wandb.me/yannic
OUTLINE:
0:00 - Intro
0:15 - Weights & Biases Report about Reports
2:45 - GPT-3 learns to edit
6:30 - Make-A-Scene: Text-to-Image with Human Priors
8:00 - Pathways: G... | GPT three learns to edit text text to image generators achieve new heights. And Google finally introduces their pathway system. Welcome to ML news. Quick work from our sponsor weights and biases. If you don't know weights and biases, you should definitely check them out. They are the best when it comes to MLOps. It's ... | [{"start": 0.0, "end": 5.68, "text": " GPT three learns to edit text text to image generators achieve new heights. And Google"}, {"start": 5.68, "end": 10.0, "text": " finally introduces their pathway system. Welcome to ML news."}, {"start": 14.0, "end": 18.240000000000002, "text": " Quick work from our sponsor weights... |
Yannic Kilchner | https://www.youtube.com/watch?v=3ks2gpqAKY8 | Author Interview - Memory-assisted prompt editing to improve GPT-3 after deployment | #nlp #gpt3 #prompt
This is an interview with the authors of this work, Aman Madaan and Niket Tandon.
Large language models such as GPT-3 have enabled many breakthroughs and new applications recently, but they come with an important downside: Training them is very expensive, and even fine-tuning is often difficult. Thi... | Hello, this is an interview with the authors of the paper on memory assisted prompt editing to improve GPT-3 after deployment. If you haven't seen it, I've made a comprehensive paper review on this paper. And I released that yesterday. So the authors that I'm having on today as guests have seen that paper, and we're a... | [{"start": 0.0, "end": 11.18, "text": " Hello, this is an interview with the authors of the paper on memory assisted prompt editing"}, {"start": 11.18, "end": 14.280000000000001, "text": " to improve GPT-3 after deployment."}, {"start": 14.280000000000001, "end": 18.8, "text": " If you haven't seen it, I've made a comp... |
Yannic Kilchner | https://www.youtube.com/watch?v=gYxJEd3EUKs | Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained) | #nlp #gpt3 #prompt
Large language models such as GPT-3 have enabled many breakthroughs and new applications recently, but they come with an important downside: Training them is very expensive, and even fine-tuning is often difficult. This paper presents an adaptive method to improve performance of such models after de... | Hello, this is a comprehensive paper review on the paper called memory assisted prompt editing to improve GPT-3 after deployment. As the title says, this paper is really cool because it is able to improve these large language models after they're deployed. So this video right here is a comprehensive review on the pape... | [{"start": 0.0, "end": 6.16, "text": " Hello, this is a comprehensive paper review on the paper called memory assisted prompt editing"}, {"start": 6.16, "end": 12.32, "text": " to improve GPT-3 after deployment. As the title says, this paper is really cool because it is"}, {"start": 12.32, "end": 18.080000000000002, "t... |
Yannic Kilchner | https://www.youtube.com/watch?v=AvHLJqtmQkE | Author Interview - Typical Decoding for Natural Language Generation | #deeplearning #nlp #sampling
This is an interview with first author Clara Meister.
Paper review video hereé https://youtu.be/_EDr3ryrT_Y
Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data, yet when sampling from their output distributions, the generated te... | Hi, y'all. This is an interview with Clara Meister, who is the first author of the paper Typical Decoding for Natural Language Generation. This paper, I believe, is really important because it presents a new sampling method that makes language models output much more human like texts. I've already made a review about ... | [{"start": 0.0, "end": 9.5, "text": " Hi, y'all. This is an interview with Clara Meister, who is the first author of the paper"}, {"start": 9.5, "end": 14.68, "text": " Typical Decoding for Natural Language Generation. This paper, I believe, is really important"}, {"start": 14.68, "end": 19.3, "text": " because it pres... |
Yannic Kilchner | https://www.youtube.com/watch?v=_EDr3ryrT_Y | Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!) | #deeplearning #nlp #sampling
Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data, yet when sampling from their output distributions, the generated text often seems dull and uninteresting. Various workarounds have been proposed, such as top-k sampling and nuc... | Pay special attention to this paper. It is not a paper by Google or DeepMind or Meta or anything like this. Yet I believe it is a really important paper. It discusses typical sampling, which is a new decoding strategy of how we sample from language models. We usually train language models with a maximum likelihood obj... | [{"start": 0.0, "end": 7.8, "text": " Pay special attention to this paper. It is not a paper by Google or DeepMind or Meta or anything like this."}, {"start": 7.8, "end": 10.5, "text": " Yet I believe it is a really important paper."}, {"start": 10.5, "end": 17.400000000000002, "text": " It discusses typical sampling, ... |
Yannic Kilchner | https://www.youtube.com/watch?v=Z3knUzwuIgo | One Model For All The Tasks - BLIP (Author Interview) | #blip #interview #salesforce
Paper Review Video: https://youtu.be/X2k7n4FuI7c
Sponsor: Assembly AI
https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=yannic2
This is an interview with Junnan Li and Dongxu Li, authors of BLIP and members of Salesforce research.
Cross-modal pre-training has b... | Hello, this is an interview with the authors of the blip paper. If you haven't seen it, I've made a review video of the paper itself. Be sure to check that out. The authors have seen that and are directly able to respond to it. So we all start on an even footing. It's very cool to have the authors on and this intervie... | [{"start": 0.0, "end": 10.52, "text": " Hello, this is an interview with the authors of the blip paper. If you haven't seen it,"}, {"start": 10.52, "end": 15.52, "text": " I've made a review video of the paper itself. Be sure to check that out. The authors have"}, {"start": 15.52, "end": 21.96, "text": " seen that and ... |
Yannic Kilchner | https://www.youtube.com/watch?v=X2k7n4FuI7c | BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation | #blip #review #ai
Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models together. However, there are a number of issues, such as low quality datasets that limit the performance of any model trained on it, and also the fact that pure contrastive pre-train... | Hey all, this is a comprehensive paper review of the paper on Blip. This is a model and a technique for bootstrapping one's own data set in vision and language pre training, which is pretty cool. So the video is a comprehensive review. We'll dive into the paper, we'll see what the paper is about. I'll explain you what... | [{"start": 0.0, "end": 11.44, "text": " Hey all, this is a comprehensive paper review of the paper on Blip. This is a model and"}, {"start": 11.44, "end": 17.48, "text": " a technique for bootstrapping one's own data set in vision and language pre training, which"}, {"start": 17.48, "end": 23.62, "text": " is pretty co... |
Yannic Kilchner | https://www.youtube.com/watch?v=RXwZKzczkF8 | [ML News] AI Threatens Biological Arms Race | #mlnews #gtc22 #ithaca
GTC Registration Link: https://ykilcher.com/gtc
Your regular updates on what's going on in the ML world!
OUTLINE:
0:00 - Intro
0:20 - Register to Nvidia GTC and win a 3090!
4:15 - DeepMind's Ithaca deciphers Lost Ancient Texts
6:45 - Drug discovery model turns toxic
10:00 - Gary Marcus: Deep Le... | DeepMind uses deep learning to restore ancient Greek texts. A drug discovery system has been abused to create thousands and thousands of super toxic compounds and Gary Marcus claims deep learning is hitting a wall. Welcome to ML News. It's Monday. Video's GTC conference goes into its next iteration. Now GTC is a compa... | [{"start": 0.0, "end": 4.48, "text": " DeepMind uses deep learning to restore ancient Greek texts."}, {"start": 4.48, "end": 10.44, "text": " A drug discovery system has been abused to create thousands and thousands of super toxic"}, {"start": 10.44, "end": 14.92, "text": " compounds and Gary Marcus claims deep learnin... |
Yannic Kilchner | https://www.youtube.com/watch?v=smxwT82o40Y | Active Dendrites avoid catastrophic forgetting - Interview with the Authors | #multitasklearning #biology #neuralnetworks
This is an interview with the paper's authors: Abhiram Iyer, Karan Grewal, and Akash Velu!
Paper Review Video: https://youtu.be/O_dJ31T01i8
Check out Zak's course on Graph Neural Networks (discount with this link): https://www.graphneuralnets.com/p/introduction-to-gnns?coup... | Hello, this is an interview with the authors of the paper on active dendrites. Now, if you haven't seen it, I've made a comprehensive paper review video on this paper. And I released that yesterday, if you watch this video as it comes out, which obviously you do. Today, I'm going to interview the authors and we've all... | [{"start": 0.0, "end": 10.6, "text": " Hello, this is an interview with the authors of the paper on active dendrites. Now, if"}, {"start": 10.6, "end": 17.04, "text": " you haven't seen it, I've made a comprehensive paper review video on this paper. And I released"}, {"start": 17.04, "end": 22.68, "text": " that yester... |
Yannic Kilchner | https://www.youtube.com/watch?v=O_dJ31T01i8 | Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments (Review) | #multitasklearning #biology #neuralnetworks
Catastrophic forgetting is a big problem in mutli-task and continual learning. Gradients of different objectives tend to conflict, and new tasks tend to override past knowledge. In biological neural networks, each neuron carries a complex network of dendrites that mitigate s... | Hello, this is a comprehensive paper review on a paper called avoiding catastrophe, active dendrites enable multitask learning in dynamic environments. This is a very cool paper because it combines ideas that come from biology, which are active dendrites and ideas that come from deep learning, namely the problems that... | [{"start": 0.0, "end": 11.88, "text": " Hello, this is a comprehensive paper review on a paper called avoiding catastrophe, active"}, {"start": 11.88, "end": 17.36, "text": " dendrites enable multitask learning in dynamic environments. This is a very cool paper because"}, {"start": 17.36, "end": 24.240000000000002, "te... |
Yannic Kilchner | https://www.youtube.com/watch?v=MgJ3JsE3Tqo | Author Interview - VOS: Learning What You Don't Know by Virtual Outlier Synthesis | #deeplearning #objectdetection #outliers
An interview with the authors of "Virtual Outlier Synthesis".
Watch the paper review video here: https://youtu.be/i-J4T3uLC9M
Outliers are data points that are highly unlikely to be seen in the training distribution, and therefore deep neural networks have troubles when dealin... | Hello there, this is an interview with the authors of the paper Learning What You Don't Know by Virtual Outlier Synthesis. This paper presents a method to create what it calls virtual outliers, which are synthetic out of distribution data points in the latent space of the model. And then it trains that model to succes... | [{"start": 0.0, "end": 9.86, "text": " Hello there, this is an interview with the authors of the paper Learning What You Don't"}, {"start": 9.86, "end": 12.58, "text": " Know by Virtual Outlier Synthesis."}, {"start": 12.58, "end": 17.28, "text": " This paper presents a method to create what it calls virtual outliers, ... |
Yannic Kilchner | https://www.youtube.com/watch?v=i-J4T3uLC9M | VOS: Learning What You Don't Know by Virtual Outlier Synthesis (Paper Explained) | #vos #outliers #deeplearning
Sponsor: Assembly AI
Check them out here: https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=yannic1
Outliers are data points that are highly unlikely to be seen in the training distribution, and therefore deep neural networks have troubles when dealing with them... | Outliers, we all know them, we all hate them. How can these data points just be out of distribution, not in the training data, things that we haven't seen before, things that we don't even expect. Well they suck. So today we're going to look at what you can do about it. Specifically we're going to look at the paper le... | [{"start": 0.0, "end": 9.72, "text": " Outliers, we all know them, we all hate them."}, {"start": 9.72, "end": 16.0, "text": " How can these data points just be out of distribution, not in the training data, things that we haven't"}, {"start": 16.0, "end": 19.64, "text": " seen before, things that we don't even expect.... |
Yannic Kilchner | https://www.youtube.com/watch?v=6dvcYx9hcbE | Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents | #deepmind #rl #society
This is an in-depth paper review, followed by an interview with the papers' authors!
Society is ruled by norms, and most of these norms are very useful, such as washing your hands before cooking. However, there also exist plenty of social norms which are essentially arbitrary, such as what hairs... | Why do social norms exist? And why are some of them really, really meaningful? And why do some of them make no sense at all? Like, why am I not allowed to wear this hat right here to a funeral? Okay, it might upset some people, but why? There is no benefit, there's no direct welfare impact to society with me wearing t... | [{"start": 0.0, "end": 13.540000000000001, "text": " Why do social norms exist? And why are some of them really, really meaningful? And why"}, {"start": 13.540000000000001, "end": 18.72, "text": " do some of them make no sense at all? Like, why am I not allowed to wear this hat right"}, {"start": 18.72, "end": 25.90000... |
Yannic Kilchner | https://www.youtube.com/watch?v=kl3aBni87jg | First Author Interview: AI & formal math (Formal Mathematics Statement Curriculum Learning) | #openai #math #imo
This is an interview with Stanislas Polu, research engineer at OpenAI and first author of the paper "Formal Mathematics Statement Curriculum Learning".
Watch the paper review here: https://youtu.be/lvYVuOmUVs8
OUTLINE:
0:00 - Intro
2:00 - How do you explain the big public reaction?
4:00 - What's th... | Hello there, this is an interview with the first author of the paper Formal Mathematics Statement Curriculum Learning in which an automated system was able to solve two problems of the International Mathematics Olympiad. Now this is an unprecedented level of skill in formal mathematics for an AI system. The system use... | [{"start": 0.0, "end": 9.44, "text": " Hello there, this is an interview with the first author of the paper Formal Mathematics"}, {"start": 9.44, "end": 15.64, "text": " Statement Curriculum Learning in which an automated system was able to solve two problems"}, {"start": 15.64, "end": 18.48, "text": " of the Internati... |
Yannic Kilchner | https://www.youtube.com/watch?v=lvYVuOmUVs8 | OpenAI tackles Math - Formal Mathematics Statement Curriculum Learning (Paper Explained) | #openai #math #imo
Formal mathematics is a challenging area for both humans and machines. For humans, formal proofs require very tedious and meticulous specifications of every last detail and results in very long, overly cumbersome and verbose outputs. For machines, the discreteness and sparse reward nature of the pro... | Can AI do math? And I don't mean two plus two, I mean pure mathematics. The paper we're going to look at today is called formal mathematics statement curriculum learning and presents an automated system to prove mathematical theorems in a symbolic fashion. What's even more crazy is that this system was able to solve t... | [{"start": 0.0, "end": 11.200000000000001, "text": " Can AI do math? And I don't mean two plus two, I mean pure mathematics. The paper we're going"}, {"start": 11.200000000000001, "end": 16.080000000000002, "text": " to look at today is called formal mathematics statement curriculum learning and presents an"}, {"start"... |
Yannic Kilchner | https://www.youtube.com/watch?v=YOLL8dIhLJI | [ML News] DeepMind controls fusion | Yann LeCun's JEPA architecture | US: AI can't copyright its art | #mlnews #deepmind #fusion
Updates on what's going on in the ML world!
Check out w&b's alerts feature: https://wandb.me/yannic
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
2:35 - DeepMind uses Reinforcement Learning to control nuclear fusion
4:35 - Google responds to carbon emission estimates
8:40 - Yann LeCu... | DeepMind controls nuclear fusion with reinforcement learning. Jan LeCun proposes a new architecture for world models. And according to a reliable source, it may be that today's large neural networks are slightly conscious. Welcome to ML News. It's Monday. Stop. Let me tell you about a feature that I have just learned ... | [{"start": 0.0, "end": 5.44, "text": " DeepMind controls nuclear fusion with reinforcement learning. Jan LeCun proposes a new"}, {"start": 5.44, "end": 10.72, "text": " architecture for world models. And according to a reliable source, it may be that today's"}, {"start": 10.72, "end": 15.6, "text": " large neural netwo... |
Yannic Kilchner | https://www.youtube.com/watch?v=C5sWbYwzKyg | AlphaCode - with the authors! | #ai #alphacode #deepmind
An interview with the creators of AlphaCode!
Paper review video here: https://youtu.be/s9UAOmyah1A
OUTLINE:
0:00 - Intro
1:10 - Media Reception
5:10 - How did the project go from start to finish?
9:15 - Does the model understand its own code?
14:45 - Are there plans to reduce the number of sa... | Hey, this is an interview with the authors of the AlphaCode paper by DeepMind. This is a crazy system. It does automated competitive programming and is about as good as an average human in real competitions, which is crazy. In case you haven't seen it, I've made a comprehensive paper review of this paper in the last v... | [{"start": 0.0, "end": 11.24, "text": " Hey, this is an interview with the authors of the AlphaCode paper by DeepMind."}, {"start": 11.24, "end": 13.0, "text": " This is a crazy system."}, {"start": 13.0, "end": 18.240000000000002, "text": " It does automated competitive programming and is about as good as an average h... |
Yannic Kilchner | https://www.youtube.com/watch?v=s9UAOmyah1A | Competition-Level Code Generation with AlphaCode (Paper Review) | #ai #alphacode #deepmind
AlphaCode is an automated system that can solve competitive programing exercises. The authors found an interesting combination of language models, large-scale sampling, and clever techniques to filter and subsequently cluster the resulting programs, which lets the system perform on the level o... | AlphaCode is a system by DeepMind that does automated competitive programming. You're able to give this system a lead code style problem in natural language and it will come up with code by itself that solves the problem. It does this by using a combination of language modeling, sampling, filtering and clustering befo... | [{"start": 0.0, "end": 11.32, "text": " AlphaCode is a system by DeepMind that does automated competitive programming."}, {"start": 11.32, "end": 16.080000000000002, "text": " You're able to give this system a lead code style problem in natural language and it will"}, {"start": 16.080000000000002, "end": 20.16, "text":... |
Yannic Kilchner | https://www.youtube.com/watch?v=FNDVy_BR8aA | Can Wikipedia Help Offline Reinforcement Learning? (Author Interview) | #wikipedia #reinforcementlearning #languagemodels
Original paper review here: https://youtu.be/XHGh19Hbx48
Machel Reid and Yutaro Yamada join me to discuss their recent paper on langauge model pre-training for decision transformers in offline reinforcement learning.
OUTLINE:
0:00 - Intro
1:00 - Brief paper, setup & ... | Hey, this is the interview part of the video, Can Wikipedia Help Offline Reinforcement Learning? If you haven't seen it, I've made a comprehensive review of this research paper in the previous video. So be sure to check that out. The authors that I speak to today are the authors of this paper, they've seen my review, ... | [{"start": 0.0, "end": 5.68, "text": " Hey, this is the interview part of the video, Can Wikipedia Help Offline Reinforcement Learning?"}, {"start": 5.68, "end": 11.200000000000001, "text": " If you haven't seen it, I've made a comprehensive review of this research paper in the previous"}, {"start": 11.200000000000001,... |
Yannic Kilchner | https://www.youtube.com/watch?v=XHGh19Hbx48 | Can Wikipedia Help Offline Reinforcement Learning? (Paper Explained) | #wikipedia #reinforcementlearning #languagemodels
Transformers have come to overtake many domain-targeted custom models in a wide variety of fields, such as Natural Language Processing, Computer Vision, Generative Modelling, and recently also Reinforcement Learning. This paper looks at the Decision Transformer and sho... | Can Wikipedia help offline reinforcement learning? This is the title of the paper that we're going to look at today. This paper is borderline preposterous in the results that it presents. Language model pre-training helps reinforcement learning, which is crazy. The two domains have almost nothing in common with each o... | [{"start": 0.0, "end": 4.08, "text": " Can Wikipedia help offline reinforcement learning?"}, {"start": 4.08, "end": 7.24, "text": " This is the title of the paper that we're going to look at today."}, {"start": 7.24, "end": 12.040000000000001, "text": " This paper is borderline preposterous in the results that it prese... |
Yannic Kilchner | https://www.youtube.com/watch?v=XjILIYVLFrI | [ML Olds] Meta Research Supercluster | OpenAI GPT-Instruct | Google LaMDA | Drones fight Pigeons | #mlnews #rsc #gpt3
Some things we've missed in recent weeks!
OUTLINE:
0:00 - Intro & Overview
0:40 - Meta builds AI Research Supercluster (RSC)
2:25 - OpenAI trains GPT-3 to follow instructions
4:10 - Meta AI releases multilingual language models
4:50 - Google LaMDA dialogue models
5:50 - Helpful Things
8:25 - Traini... | Meta builds a humongous computer, OpenAI teaches their language models to follow instructions, and we battle pigeons with drones. Welcome to ML News. Welcome to ML News. Now I have to say these aren't exactly news. This is stuff that we've somehow missed or skipped or anything like this from the last two to three week... | [{"start": 0.0, "end": 6.76, "text": " Meta builds a humongous computer, OpenAI teaches their language models to follow instructions,"}, {"start": 6.76, "end": 9.88, "text": " and we battle pigeons with drones."}, {"start": 9.88, "end": 15.76, "text": " Welcome to ML News."}, {"start": 15.76, "end": 16.76, "text": " We... |
Yannic Kilchner | https://www.youtube.com/watch?v=cO1nSnsH_CQ | Listening to You! - Channel Update (Author Interviews) | #mlnews #kilcher #withtheauthors
Many of you have given me feedback on what you did and didn't like about the recent "with the authors" videos. Here's the result of that feedback and an outlook into the future.
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Links:
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... | Hi all, this is just a short channel update. Recently, I've been conducting a lot of surveys of people and asked a lot of people to comment on things about the channel. And I want to give you an update on how that's going. So as you might have realized, I've had the great opportunity to bring on a lot of authors first... | [{"start": 0.0, "end": 5.84, "text": " Hi all, this is just a short channel update. Recently, I've been conducting a lot of surveys"}, {"start": 5.84, "end": 10.24, "text": " of people and asked a lot of people to comment on things about the channel. And I want to give you"}, {"start": 10.24, "end": 15.84, "text": " an... |
Yannic Kilchner | https://www.youtube.com/watch?v=VQoyypYTz2U | All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & more (w/ Author) | #ai #gpu #tpu
This video is an interview with Adi Fuchs, author of a series called "AI Accelerators", and an expert in modern AI acceleration technology.
Accelerators like GPUs and TPUs are an integral part of today's AI landscape. Deep Neural Network training can be sped up by orders of magnitudes by making good use ... | Hello there, today I'm talking to Adi Fuchs, who is an expert in AI acceleration technology. We talk about a whole bunch of things in this interview, but it is a little bit of a special thing because it's not about a paper or anything, but it is about a series of blog posts that Adi has authored. I am very much a noob... | [{"start": 0.0, "end": 6.88, "text": " Hello there, today I'm talking to Adi Fuchs, who is an expert in AI acceleration technology."}, {"start": 6.88, "end": 11.620000000000001, "text": " We talk about a whole bunch of things in this interview, but it is a little bit of a special"}, {"start": 11.620000000000001, "end":... |
Yannic Kilchner | https://www.youtube.com/watch?v=fEKZC9mta8w | [ML News] Uber: Deep Learning for ETA | MuZero Video Compression | Block-NeRF | EfficientNet-X | #mlnews #muzero #nerf
Your regularly irregular updates on everything new in the ML world!
Merch: http://store.ykilcher.com
OUTLINE:
0:00 - Intro
0:15 - Sponsor: Weights & Biases
2:15 - Uber switches from XGBoost to Deep Learning for ETA prediction
5:45 - MuZero advances video compression
10:10 - Learned Soft Prompts ... | Uber now uses deep learning to predict arrival times, mu zero is used to compress YouTube videos and nerf scales to entire city blocks. Amazing. Welcome to ML News. Hey ho there, this video is sponsored by Weights and Biases. Today I want to tell you about a new feature in Weights and Biases, which is their integratio... | [{"start": 0.0, "end": 6.16, "text": " Uber now uses deep learning to predict arrival times, mu zero is used to compress YouTube"}, {"start": 6.16, "end": 10.52, "text": " videos and nerf scales to entire city blocks."}, {"start": 10.52, "end": 11.52, "text": " Amazing."}, {"start": 11.52, "end": 13.84, "text": " Welco... |
Yannic Kilchner | https://www.youtube.com/watch?v=qNfCVGbvnJc | CM3: A Causal Masked Multimodal Model of the Internet (Paper Explained w/ Author Interview) | #cm3 #languagemodel #transformer
This video contains a paper explanation and an incredibly informative interview with first author Armen Aghajanyan.
Autoregressive Transformers have come to dominate many fields in Machine Learning, from text generation to image creation and many more. However, there are two problems. ... | Today, we'll talk about CM3, which is a model that directly ingests websites, learns the HTML, it uses a novel objective that does left to right language modeling, but with a twist that essentially allows it to incorporate bi-directional information into the language modeling. It incorporates text, structure, images, ... | [{"start": 0.0, "end": 7.32, "text": " Today, we'll talk about CM3, which is a model that directly ingests websites, learns the"}, {"start": 7.32, "end": 12.92, "text": " HTML, it uses a novel objective that does left to right language modeling, but with"}, {"start": 12.92, "end": 18.52, "text": " a twist that essentia... |
Yannic Kilchner | https://www.youtube.com/watch?v=zcGOPqFZ4Tk | AI against Censorship: Genetic Algorithms, The Geneva Project, ML in Security, and more! | #security #censorship #ai
Most of us conceive the internet as a free and open space where we are able to send traffic between any two nodes, but for large parts of the world this is not the case. Entire nations have large machinery in place to survey all internet traffic and automated procedures to block any undesirab... | Hello there, today I'm talking to Kevin Bock, who is a cybersecurity expert, and one of the main people involved in the Geneva project. Geneva is a genetic algorithm that evades censorship by nation states. So in real time, Geneva can evolve to the ever more present danger of censorship by really big entities such as ... | [{"start": 0.0, "end": 6.0, "text": " Hello there, today I'm talking to Kevin Bock, who is a cybersecurity expert, and one of the main"}, {"start": 6.0, "end": 12.8, "text": " people involved in the Geneva project. Geneva is a genetic algorithm that evades censorship by"}, {"start": 12.8, "end": 20.240000000000002, "te... |
Yannic Kilchner | https://www.youtube.com/watch?v=D6osiiEoV0w | HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author) | #hypertransformer #metalearning #deeplearning
This video contains a paper explanation and an interview with author Andrey Zhmoginov!
Few-shot learning is an interesting sub-field in meta-learning, with wide applications, such as creating personalized models based on just a handful of data points. Traditionally, approa... | Hello, today we're going to look at hyper transformer. This is a model for few shot learning where you get new data that you haven't seen before with potentially new class labels. So this model takes in a set of data points and corresponding class labels and its output is the weights of a convolutional neural network ... | [{"start": 0.0, "end": 4.64, "text": " Hello, today we're going to look at hyper transformer. This is a model for few shot"}, {"start": 4.64, "end": 10.88, "text": " learning where you get new data that you haven't seen before with potentially new class labels. So"}, {"start": 10.88, "end": 16.88, "text": " this model ... |
Yannic Kilchner | https://www.youtube.com/watch?v=McpjrsHrEY4 | [ML News] DeepMind AlphaCode | OpenAI math prover | Meta battles harmful content with AI | #mlnews #alphacode #openai
The latest and greatest from the world of Machine Learning!
Merch: http://store.ykilcher.com
Sponsor: Weights & Biases
https://wandb.me/yannic
OUTLINE:
0:00 - Intro
0:15 - Sponsor: Weights & Biases
3:15 - DeepMind's AlphaCode: AI competitive programmer
11:30 - OpenAI uses language models t... | DeepMinds AlphaCode solves programming challenges, OpenAI language models solve math problems, and Eleuther AI releases a 20 billion parameter language model open source. Welcome to ML News. Before the rest of the video, this video is sponsored by Weights and Biases. Weights and Biases builds developer tools for machi... | [{"start": 0.0, "end": 6.8, "text": " DeepMinds AlphaCode solves programming challenges, OpenAI language models solve math problems,"}, {"start": 6.8, "end": 13.280000000000001, "text": " and Eleuther AI releases a 20 billion parameter language model open source. Welcome to ML News."}, {"start": 18.56, "end": 23.44, "t... |
Yannic Kilchner | https://www.youtube.com/watch?v=OUCwujwE7bA | Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents (+Author) | #gpt3 #embodied #planning
In this video: Paper explanation, followed by first author interview with Wenlong Huang.
Large language models contain extraordinary amounts of world knowledge that can be queried in various ways. But their output format is largely uncontrollable. This paper investigates the VirtualHome envir... | Hello there, today we're looking at language models as zero shot planners extracting actionable knowledge for embodied agents. And I'm going to interview the first author Wenlong Huang in a few minutes. So first, there's an explanation of the paper 1015 minutes or so I'm gonna try to keep to it. And then we jump into ... | [{"start": 0.0, "end": 5.68, "text": " Hello there, today we're looking at language models as zero shot planners extracting actionable"}, {"start": 5.68, "end": 11.4, "text": " knowledge for embodied agents. And I'm going to interview the first author Wenlong Huang"}, {"start": 11.4, "end": 17.400000000000002, "text": ... |
Yannic Kilchner | https://www.youtube.com/watch?v=5skIqoO3ku0 | OpenAI Embeddings (and Controversy?!) | #mlnews #openai #embeddings
COMMENTS DIRECTLY FROM THE AUTHOR (thanks a lot for reaching out Arvind :) ):
1. The FIQA results you share also have code to reproduce the results in the paper using the API: https://twitter.com/arvind_io/status/1488257004783112192?s=20&t=gB3c79VEX8hGJl6WfZa2iA There's no discrepancy AFAIK... | Hello, everyone, welcome to a special edition of ML news, we have something to discuss. OpenAI just released an embeddings endpoint to their API. This is accompanied by blog posts called introducing text and code embeddings in the open AI API. Now after the let's call them big successes of GPT-3 and codecs, which is t... | [{"start": 0.0, "end": 11.08, "text": " Hello, everyone, welcome to a special edition of ML news, we have something to discuss."}, {"start": 11.08, "end": 15.32, "text": " OpenAI just released an embeddings endpoint to their API."}, {"start": 15.32, "end": 21.62, "text": " This is accompanied by blog posts called intro... |
Yannic Kilchner | https://www.youtube.com/watch?v=vfBAUYpMCTU | Unsupervised Brain Models - How does Deep Learning inform Neuroscience? (w/ Patrick Mineault) | #deeplearning #brain #neuroscience
Originally, Deep Learning sprang into existence inspired by how the brain processes information, but the two fields have diverged ever since. However, given that deep models can solve many perception tasks with remarkable accuracy, is it possible that we might be able to learn someth... | Hello there. Today I'm interviewing Patrick Minot, who has a PhD from McGill and did a postdoc at UCLA. He's an independent scientist and a neural data scientist. His interests are neuroscience and the connection to machine learning. He has an awesome blog called XCOR, which I guess is pronounced cross correlation, bu... | [{"start": 0.0, "end": 6.72, "text": " Hello there. Today I'm interviewing Patrick Minot, who has a PhD from McGill and did a"}, {"start": 6.72, "end": 13.92, "text": " postdoc at UCLA. He's an independent scientist and a neural data scientist. His interests are"}, {"start": 13.92, "end": 19.92, "text": " neuroscience ... |
Yannic Kilchner | https://www.youtube.com/watch?v=AJwnbSP_rq8 | GPT-NeoX-20B - Open-Source huge language model by EleutherAI (Interview w/ co-founder Connor Leahy) | #eleuther #gptneo #gptj
EleutherAI announces GPT-NeoX-20B, a 20 billion parameter open-source language model, inspired by GPT-3. Connor joins me to discuss the process of training, how the group got their hands on the necessary hardware, what the new model can do, and how anyone can try it out!
OUTLINE:
0:00 - Intro
... | Big announcement by Eleuther AI releasing GPT Neo x 20b. This is a 20 billion parameter large language model, and it will be publicly released in about a week from now so less than a week from when you're seeing this, we have a blog post right now so there will all also be a paper coming up the blog post details a lit... | [{"start": 0.0, "end": 7.9, "text": " Big announcement by Eleuther AI releasing GPT Neo x 20b. This is a 20 billion parameter"}, {"start": 7.9, "end": 14.040000000000001, "text": " large language model, and it will be publicly released in about a week from now so less"}, {"start": 14.040000000000001, "end": 18.12, "tex... |
Yannic Kilchner | https://www.youtube.com/watch?v=1HEdXwEYrGM | Predicting the rules behind - Deep Symbolic Regression for Recurrent Sequences (w/ author interview) | #deeplearning #symbolic #research
This video includes an interview with first author Stéphane d'Ascoli (https://sdascoli.github.io/).
Deep neural networks are typically excellent at numeric regression, but using them for symbolic computation has largely been ignored so far. This paper uses transformers to do symbolic ... | Hello there, today we'll look at Deep Symbolic Regression for Recurrent Sequences by Stefan Dascoli, Thier-Alexandre Camieni, Guillaume Lompel and Francois Charton. This is another paper where the main part will be an interview with the first author, Stefan, and I'll just briefly introduce the paper right here for 10-... | [{"start": 0.0, "end": 6.0, "text": " Hello there, today we'll look at Deep Symbolic Regression for Recurrent Sequences by Stefan"}, {"start": 6.0, "end": 13.44, "text": " Dascoli, Thier-Alexandre Camieni, Guillaume Lompel and Francois Charton. This is another paper where"}, {"start": 13.44, "end": 18.88, "text": " the... |
Yannic Kilchner | https://www.youtube.com/watch?v=2v0xU2N1cdI | IT ARRIVED! YouTube sent me a package. (also: Limited Time Merch Deal) | LIMITED TIME MERCH DEAL: http://store.ykilcher.com
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LinkedIn: http... | ಈੀ ಈੀ ចាន្ន្ងល្រានពានានាន្មានរាតា្រានានាន្រាន្រាន្រាន្រាតារាន្លាប្ល្ល្រាន្ល្លានាន្ល្រានានីពាត្លានអាភា្មាន្រ very shiny and this part in the middle is like a mirror. You see this? Amazing. It is super cool. I'm very, very excited. This arrived, I would not ever have believed when I started that that this would at some ... | [{"start": 0.0, "end": 2.0, "text": " \u0c88\u0a40 \u0c88\u0a40"}, {"start": 30.0, "end": 60.0, "text": " \u1785\u17b6\u1793\u17d2\u1793\u17d2\u1784\u179b\u17d2\u179a\u17b6\u1793\u1796\u17b6\u1793\u17b6\u1793\u17b6\u1793\u17d2\u1798\u17b6\u1793\u179a\u17b6\u178f\u17b6\u17d2\u179a\u17b6\u1793\u17b6\u1793\u17b6\u1793\u17... |
Yannic Kilchner | https://www.youtube.com/watch?v=yVKiMh2vEWQ | [ML News] ConvNeXt: Convolutions return | China regulates algorithms | Saliency cropping examined | #mlnews #convnext #mt3
Your update on what's new in the Machine Learning world!
OUTLINE:
0:00 - Intro
0:15 - ConvNeXt: Return of the Convolutions
2:50 - Investigating Saliency Cropping Algorithms
9:40 - YourTTS: SOTA zero-shot Text-to-Speech
10:40 - MT3: Multi-Track Music Transcription
11:35 - China regulates addicti... | Facebook makes convnets return to glory. A new text to speech model lets you speak any language you want. And automated music transcription gets a boost. Welcome to ML News. Hello and welcome to ML News. It is so great to have you here. How are you doing? I hope everyone's okay. Let's dive into the first story. Facebo... | [{"start": 0.0, "end": 5.92, "text": " Facebook makes convnets return to glory. A new text to speech model lets you speak any"}, {"start": 5.92, "end": 13.68, "text": " language you want. And automated music transcription gets a boost. Welcome to ML News."}, {"start": 13.68, "end": 20.88, "text": " Hello and welcome to... |
Yannic Kilchner | https://www.youtube.com/watch?v=w3knicSHx5s | Dynamic Inference with Neural Interpreters (w/ author interview) | #deeplearning #neuralinterpreter #ai
This video includes an interview with the paper's authors!
What if we treated deep networks like modular programs? Neural Interpreters divide computation into small modules and route data to them via a dynamic type inference system. The resulting model combines recurrent elements, ... | how do you prevent all the signatures from collapsing on each other, right? Because that's a very nice way to cheat. Right? I mean, you know what neural networks like to do, right? They like to cheat. Hi there, today, we'll look at dynamic inference with neural interpreters by Walid Gondal, Naseem Rahman, and others. ... | [{"start": 0.0, "end": 6.48, "text": " how do you prevent all the signatures from collapsing on each other, right? Because that's"}, {"start": 6.48, "end": 10.96, "text": " a very nice way to cheat. Right? I mean, you know what neural networks like to do, right? They like"}, {"start": 10.96, "end": 20.8, "text": " to c... |
Yannic Kilchner | https://www.youtube.com/watch?v=Xp3jR-ttMfo | Noether Networks: Meta-Learning Useful Conserved Quantities (w/ the authors) | #deeplearning #noether #symmetries
This video includes an interview with first author Ferran Alet!
Encoding inductive biases has been a long established methods to provide deep networks with the ability to learn from less data. Especially useful are encodings of symmetry properties of the data, such as the convolution... | But the intuition is that knowing these five conserved quantities is going to tell me a bit about what my prediction should be. And so it's kind of free information that I get to know. Hello there, today we'll look at Neuternetworks, meta-learning useful conserved quantities by Ferran Alet and Dylan Doblar and others.... | [{"start": 0.0, "end": 5.12, "text": " But the intuition is that knowing these five conserved quantities is going to tell me a bit"}, {"start": 5.12, "end": 11.36, "text": " about what my prediction should be. And so it's kind of free information that I get to know."}, {"start": 15.040000000000001, "end": 21.6, "text":... |
Yannic Kilchner | https://www.youtube.com/watch?v=a4P8v8lGFPw | This Team won the Minecraft RL BASALT Challenge! (Paper Explanation & Interview with the authors) | #minerl #minecraft #deeplearning
The MineRL BASALT challenge has no reward functions or technical descriptions of what's to be achieved. Instead, the goal of each task is given as a short natural language string, and the agent is evaluated by a team of human judges who rate both how well the goal has been fulfilled, a... | If we just do behavior cloning using this data, you know, won't cut it like we don't have enough data. Hello there. Today we're going to look at this right here. This is an agent in Minecraft that's trying to build a waterfall. So the goal is to go up a mountain, find a good spot, put down some water, turn around and ... | [{"start": 0.0, "end": 6.0, "text": " If we just do behavior cloning using this data, you know, won't cut it like we don't have enough data."}, {"start": 6.0, "end": 19.0, "text": " Hello there. Today we're going to look at this right here. This is an agent in Minecraft that's trying to build a waterfall."}, {"start": ... |
Yannic Kilchner | https://www.youtube.com/watch?v=rd3R_G6_UfY | Full Self-Driving is HARD! Analyzing Elon Musk re: Tesla Autopilot on Lex Fridman's Podcast | #tesla #fsd #elon
Watch the original podcast: https://www.youtube.com/watch?v=DxREm3s1scA
An analysis of Elon's appearance on Lex Fridman. Very interesting conversation and a good overview of past, current, and future versions of Tesla's Autopilot system.
OUTLINE:
0:00 - Intro
0:40 - Tesla Autopilot: How hard is it?... | Hey, how's everyone doing today, we're going to analyze Elon Musk's appearance on the Lex Friedman podcast. Specifically, we're going to look at the part where Elon talks about the Tesla autopilot and to a certain degree also the Tesla bot. We've previously analyzed the talk by Andre Carpati about what kind of archite... | [{"start": 0.0, "end": 4.8, "text": " Hey, how's everyone doing today, we're going to analyze Elon Musk's appearance on the Lex"}, {"start": 4.8, "end": 9.68, "text": " Friedman podcast. Specifically, we're going to look at the part where Elon talks about the"}, {"start": 9.68, "end": 15.52, "text": " Tesla autopilot a... |
Yannic Kilchner | https://www.youtube.com/watch?v=U0mxx7AoNz0 | Player of Games: All the games, one algorithm! (w/ author Martin Schmid) | #playerofgames #deepmind #alphazero
Special Guest: First author Martin Schmid (https://twitter.com/Lifrordi)
Games have been used throughout research as testbeds for AI algorithms, such as reinforcement learning agents. However, different types of games usually require different solution approaches, such as AlphaZero ... | Hello everyone. Today is a special day. I'm here, as you can see, not alone, not by myself as usual. I'm joined by Martin Schmidt who is the first author of the paper called Player of Games. This is joint work with others by DeepMind and I have to say it's a very in-depth paper. It presents an algorithm called Player ... | [{"start": 0.0, "end": 7.4, "text": " Hello everyone. Today is a special day. I'm here, as you can see, not alone, not by myself as usual."}, {"start": 7.4, "end": 14.0, "text": " I'm joined by Martin Schmidt who is the first author of the paper called Player of Games."}, {"start": 14.0, "end": 20.400000000000002, "tex... |
Yannic Kilchner | https://www.youtube.com/watch?v=GgHXGpQ60x0 | [ML News] AI learns to search the Internet | Drawings come to life | New ML journal launches | #webgpt #aiart #mlnews
The latest and greatest from the Machine Learning world.
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
2:40 - WebGPT: When GPT-3 can search the Internet
15:45 - MetaAI brings children's drawings to life
17:15 - OpenAI lets anyone fine-tune GPT-3
18:15 - New Journal: Transactions on Mac... | OpenAI teaches GPT-3 to search the internet for you. Meta brings children's drawing to life and transactions of machine learning research launches as a new journal to alleviate some problems of the conference system. Welcome to ML News. How's everyone doing this video is sponsored by Weights and Biases. Weights and Bi... | [{"start": 0.0, "end": 4.76, "text": " OpenAI teaches GPT-3 to search the internet for you."}, {"start": 4.76, "end": 9.58, "text": " Meta brings children's drawing to life and transactions of machine learning research"}, {"start": 9.58, "end": 14.56, "text": " launches as a new journal to alleviate some problems of th... |
Yannic Kilchner | https://www.youtube.com/watch?v=ZOkvFf8JbkA | [ML News] DeepMind builds Gopher | Google builds GLaM | Suicide capsule uses AI to check access | #mlnews #gopher #glam
Your updates on everything going on in the Machine Learning world.
Sponsor: Weights & Biases
https://wandb.me/yannic
OUTLINE:
0:00 - Intro & Overview
0:20 - Sponsor: Weights & Biases
3:05 - DeepMind releases 3 papers on large language models
11:45 - Hugging Face Blog: Training CodeParrot from s... | DeepMind builds a dense language model with 280 billion parameters. Google builds a sparse language model with over a trillion parameters. And Microsoft has a new dashboard. Welcome to ML News. Hey there, this video is sponsored by weights and biases. Me and weights and biases, we've decided to take the next step in o... | [{"start": 0.0, "end": 6.92, "text": " DeepMind builds a dense language model with 280 billion parameters. Google builds a sparse"}, {"start": 6.92, "end": 13.66, "text": " language model with over a trillion parameters. And Microsoft has a new dashboard. Welcome"}, {"start": 13.66, "end": 16.28, "text": " to ML News."... |
Yannic Kilchner | https://www.youtube.com/watch?v=Lg97gWXsiQ4 | Resolution-robust Large Mask Inpainting with Fourier Convolutions (w/ Author Interview) | #lama #inpainting #deeplearning
At the end of the video is an interview with the paper authors!
LaMa is a system that is amazing at removing foreground objects from images, especially when those objects cover a large part of the image itself. LaMa is specifically trained to reconstruct large masked areas and includes ... | Hello there, today we're looking at resolution robust large mask in painting with Fourier convolutions also called Lama by the Samsung AI Center, Samsung Research, EPFL and the Skolkovo Institute of Science and Technology. This is a special paper review because I'm only going to introduce the paper briefly maybe 15-20... | [{"start": 0.0, "end": 5.44, "text": " Hello there, today we're looking at resolution robust large mask in painting with Fourier"}, {"start": 5.44, "end": 13.040000000000001, "text": " convolutions also called Lama by the Samsung AI Center, Samsung Research, EPFL and the Skolkovo"}, {"start": 13.040000000000001, "end":... |
Yannic Kilchner | https://www.youtube.com/watch?v=f2OgP49J7Pg | [ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR | #mlnews #deepmind #ai
The most trusted model in News!
Get started with Weights & Biases here: https://wandb.me/yannic
(it's free forever for personal use)
OUTLINE:
0:00 - Intro
0:15 - Sponsor: Weights & Biases
3:10 - DeepMind tackles fundamental math
6:45 - Microsoft focuses on scaling effectively and efficiently
10... | DeepMind tackles fundamental mathematics, Microsoft trains its most efficient and effective language model yet, and Timnit Gebru launches her own research institute. Welcome to ML News. Look at this. Look at what I got as a Christmas present. It is a swag package from Weights and Biases. So so if you look there's ther... | [{"start": 0.0, "end": 6.28, "text": " DeepMind tackles fundamental mathematics, Microsoft trains its most efficient and effective"}, {"start": 6.28, "end": 11.040000000000001, "text": " language model yet, and Timnit Gebru launches her own research institute."}, {"start": 11.040000000000001, "end": 16.72, "text": " We... |
Yannic Kilchner | https://www.youtube.com/watch?v=InhMx1h0N40 | NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion (ML Research Paper Explained) | #nuwa #microsoft #generative
NÜWA is a unifying architecture that can ingest text, images, and videos and brings all of them into a quantized latent representation to support a multitude of visual generation tasks, such as text-to-image, text-guided video manipulation, or sketch-to-video. This paper details how the en... | Hi there. Today we'll look at Nuwa, visual synthesis pre-training for neural visual world creation. This is by researchers of Microsoft Research Asia and Peking University. The paper presents a model that can support a wide variety of image generation tasks, such as text to image, where you give a piece of text and yo... | [{"start": 0.0, "end": 7.08, "text": " Hi there. Today we'll look at Nuwa, visual synthesis pre-training for neural visual world"}, {"start": 7.08, "end": 14.52, "text": " creation. This is by researchers of Microsoft Research Asia and Peking University. The paper"}, {"start": 14.52, "end": 22.18, "text": " presents a ... |
Yannic Kilchner | https://www.youtube.com/watch?v=8f5xIMStqF4 | [ML News] OpenAI removes GPT-3 waitlist | GauGAN2 is amazing | NYC regulates AI hiring tools | #mlnews #gaugan #gpt-3
Your weekly dose of ML News!
More GauGAN images here: https://drive.google.com/drive/folders/1tG1rpxP_mnspB1MWi9VZGScw5R-hxUdm?usp=sharing
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
2:20 - OpenAI's removes GPT-3 Waitlist
4:55 - NVIDIA releases GauGAN2 Webapp
9:45 - Everyday Robots t... | GPT-3 is now free to access, NVIDIA releases Gauguin 2 and it's amazing, and out of Google X comes Everyday Robots, which aims to make robots handle everyday tasks. Welcome to ML News. Hey YouTube! Hey attention sores, what's up? This video is sponsored by Weights and Biases. Thank you so much to Weights and Biases fo... | [{"start": 0.0, "end": 7.0, "text": " GPT-3 is now free to access, NVIDIA releases Gauguin 2 and it's amazing, and out of Google"}, {"start": 7.0, "end": 12.56, "text": " X comes Everyday Robots, which aims to make robots handle everyday tasks."}, {"start": 12.56, "end": 19.36, "text": " Welcome to ML News."}, {"start"... |
Yannic Kilchner | https://www.youtube.com/watch?v=hgSGHusDx7M | Sparse is Enough in Scaling Transformers (aka Terraformer) | ML Research Paper Explained | #scalingtransformers #terraformer #sparsity
Transformers keep pushing the state of the art in language and other domains, mainly due to their ability to scale to ever more parameters. However, this scaling has made it prohibitively expensive to run a lot of inference requests against a Transformer, both in terms of co... | Hello there, today we'll look at sparse is enough in scaling transformers by researchers of the University of Warsaw, Google Research and OpenAI. This paper on a high level proposes a set of building blocks to introduce sparsity into transformers. And this results in an architecture called the scaling transformer. In ... | [{"start": 0.72, "end": 6.24, "text": " Hello there, today we'll look at sparse is enough in scaling transformers by researchers of the"}, {"start": 6.24, "end": 13.44, "text": " University of Warsaw, Google Research and OpenAI. This paper on a high level proposes a set of"}, {"start": 13.44, "end": 19.12, "text": " bu... |
Yannic Kilchner | https://www.youtube.com/watch?v=FbRcbM4T-50 | ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (Paper Explained) | #ext5 #transferlearning #exmix
The T5 model has been a staple for NLP research for the last years. Both its size and its approach to formulate all NLP tasks as prompt-based language modeling make it a convenient choice to tackle new challenges and provides a strong baseline for most current datasets. ExT5 pushes T5 to... | Hello there. Today we're going to look at EXT5, Towards Extreme Multitask Scaling for Transfer Learning, by researchers of Google Research and DeepMind. This paper introduces two new things. The first thing is this EXMIX, which stands for Extreme Mixture. This is a data set. It's actually a collection. They say a mass... | [{"start": 0.0, "end": 11.0, "text": " Hello there. Today we're going to look at EXT5, Towards Extreme Multitask Scaling for Transfer Learning, by researchers of Google Research and DeepMind."}, {"start": 11.0, "end": 21.0, "text": " This paper introduces two new things. The first thing is this EXMIX, which stands for ... |
Yannic Kilchner | https://www.youtube.com/watch?v=W2UT8NjUqrk | Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions (Paper Explained) | #imle #backpropagation #discrete
Backpropagation is the workhorse of deep learning, but unfortunately, it only works for continuous functions that are amenable to the chain rule of differentiation. Since discrete algorithms have no continuous derivative, deep networks with such algorithms as part of them cannot be eff... | Hello there. Today we're looking at Implicit MLE Backpropagating Through Discrete Exponential Family Distributions by Matthias Niepert, Pascal Minervini and Luca Franceschi. This paper is a paper that we've discussed in our regular paper discussions on Discord and so it is informed by everything that I have heard ther... | [{"start": 0.0, "end": 8.4, "text": " Hello there. Today we're looking at Implicit MLE Backpropagating Through Discrete Exponential Family Distributions"}, {"start": 8.4, "end": 13.0, "text": " by Matthias Niepert, Pascal Minervini and Luca Franceschi."}, {"start": 13.0, "end": 19.0, "text": " This paper is a paper tha... |
Yannic Kilchner | https://www.youtube.com/watch?v=DEh1GR0t29k | Peer Review is still BROKEN! The NeurIPS 2021 Review Experiment (results are in) | #neurips #peerreview #machinelearning
A look at the results of the 2021 NeurIPS peer review experiment.
https://arxiv.org/abs/2109.09774
https://www.reddit.com/r/MachineLearning/comments/qzjuvk/discussion_neurips_2021_finally_accepted/
Links:
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube:... | Do you know how hard it is to truly generate random numbers? I don't mean the random number generator on your phone or anything like this. That's just algorithm that crunches something, but it's deterministic. True random numbers are super difficult to generate. There is even a Wikipedia article about it. What you nee... | [{"start": 0.0, "end": 4.84, "text": " Do you know how hard it is to truly generate random numbers?"}, {"start": 4.84, "end": 8.88, "text": " I don't mean the random number generator on your phone or anything like this."}, {"start": 8.88, "end": 13.1, "text": " That's just algorithm that crunches something, but it's de... |
Yannic Kilchner | https://www.youtube.com/watch?v=3HUK2UWzlFA | Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev) | #deeplearning #neuralarchitecturesearch #metalearning
Deep Neural Networks are usually trained from a given parameter initialization using SGD until convergence at a local optimum. This paper goes a different route: Given a novel network architecture for a known dataset, can we predict the final network parameters wit... | Hi everyone, welcome to another video. Today we're looking at parameter prediction for unseen deep architectures and we have a special guest today Boris Knyazev who is the first author of this paper actually. So this is a first I guess for Boris and for myself to review a paper in a bit of an interview style. The plan... | [{"start": 0.0, "end": 6.08, "text": " Hi everyone, welcome to another video. Today we're looking at parameter prediction for unseen"}, {"start": 6.08, "end": 14.0, "text": " deep architectures and we have a special guest today Boris Knyazev who is the first author of"}, {"start": 14.0, "end": 21.76, "text": " this pap... |
Yannic Kilchner | https://www.youtube.com/watch?v=vVRC-0VKPrg | Learning Rate Grafting: Transferability of Optimizer Tuning (Machine Learning Research Paper Review) | #grafting #adam #sgd
The last years in deep learning research have given rise to a plethora of different optimization algorithms, such as SGD, AdaGrad, Adam, LARS, LAMB, etc. which all claim to have their special peculiarities and advantages. In general, all algorithms modify two major things: The (implicit) learning ... | Alright, so I just got done making a video about this paper and I was trying to upload it, so I looked at the open review page and I read the first review and I just thought I had to show you this. Now before you see the review of the paper, but just look at this review. So the paper is about optimizer grafting, it's ... | [{"start": 0.0, "end": 5.96, "text": " Alright, so I just got done making a video about this paper and I was trying to upload"}, {"start": 5.96, "end": 12.120000000000001, "text": " it, so I looked at the open review page and I read the first review and I just thought"}, {"start": 12.120000000000001, "end": 13.8, "text... |
Yannic Kilchner | https://www.youtube.com/watch?v=FC-R4MlIqrc | [ML News] Cedille French Language Model | YOU Search Engine | AI Finds Profitable MEME TOKENS | #mlnews #cedille #wmt
Only the greatest of news from the world of Machine Learning.
OUTLINE:
0:00 - Sponsor: Weights & Biases
1:50 - Cedille - French Language Model
3:55 - Facebook AI Multilingual model wins WMT
5:50 - YOU private search engine
10:35 - DeepMind's Open-Source Arnheim
12:10 - Company sued for using AI ... | Hold on, this video is sponsored by Weights and Biases. Weights and Biases is your one stop shop for all your machine learning needs. It will track your experiments with a single line of code. It will upload automatically all your logs, all your configurations, everything to your cloud. It will automatically grab all ... | [{"start": 0.0, "end": 9.76, "text": " Hold on, this video is sponsored by Weights and Biases. Weights and Biases is your one"}, {"start": 9.76, "end": 15.040000000000001, "text": " stop shop for all your machine learning needs. It will track your experiments with a single"}, {"start": 15.040000000000001, "end": 20.56,... |
Yannic Kilchner | https://www.youtube.com/watch?v=EeMhj0sPrhE | Gradients are Not All You Need (Machine Learning Research Paper Explained) | #deeplearning #backpropagation #simulation
More and more systems are made differentiable, which means that accurate gradients of these systems' dynamics can be computed exactly. While this development has led to a lot of advances, there are also distinct situations where backpropagation can be a very bad idea. This pa... | Hi there! The video you're about to see is a bit of a mixed bag. I just wanted to say this to warn you ahead of time. It's a bit more basic than other videos, so I spend a lot of time deriving backpropagation through time, which is used for backpropagating through dynamical systems in these papers, or in this paper. A... | [{"start": 0.0, "end": 8.0, "text": " Hi there! The video you're about to see is a bit of a mixed bag. I just wanted to say this to warn you ahead of time."}, {"start": 8.0, "end": 15.0, "text": " It's a bit more basic than other videos, so I spend a lot of time deriving backpropagation through time,"}, {"start": 15.0,... |
Yannic Kilchner | https://www.youtube.com/watch?v=n622girLRNM | [ML News] Microsoft combines Images & Text | Meta makes artificial skin | Russians replicate DALL-E | #mlnews #turing #reskin
The latest and greatest from the Machine Learning world
OUTLINE:
0:00 - Intro
0:15 - Sponsor: Weights & Biases Tables
3:25 - Microsoft Turing Bletchley: Universal Image Language Representation Model
6:35 - Meta AI Tactile Sensing
9:55 - AnimeGANv2
11:35 - General In-Hand Object Re-Orientation
... | Microsoft trains a universal image language representation model, Facebook gets all touchy touchy and the Russkies release their own Dali model. Welcome to ML News. Hello there, this video is sponsored by Weights and Biases Tables. Yes, the video is sponsored by a feature. That's a new thing. You haven't seen that bef... | [{"start": 0.0, "end": 5.76, "text": " Microsoft trains a universal image language representation model, Facebook gets all touchy"}, {"start": 5.76, "end": 10.8, "text": " touchy and the Russkies release their own Dali model. Welcome to ML News."}, {"start": 15.44, "end": 21.68, "text": " Hello there, this video is spo... |
Yannic Kilchner | https://www.youtube.com/watch?v=2h4tRsQzipQ | Autoregressive Diffusion Models (Machine Learning Research Paper Explained) | #machinelearning #ardm #generativemodels
Diffusion models have made large advances in recent months as a new type of generative models. This paper introduces Autoregressive Diffusion Models (ARDMs), which are a mix between autoregressive generative models and diffusion models. ARDMs are trained to be agnostic to the o... | Hi there, today we'll look at autoregressive diffusion models by Emil Haugeboom and others of Google Research. This paper on a high level proposes a new type of autoregressive model, specifically one where variables can be decoded in arbitrary orders. This is akin to the new types of diffusion models that have been us... | [{"start": 0.0, "end": 4.92, "text": " Hi there, today we'll look at autoregressive diffusion models by Emil"}, {"start": 4.92, "end": 9.96, "text": " Haugeboom and others of Google Research. This paper on a high level proposes a"}, {"start": 9.96, "end": 15.88, "text": " new type of autoregressive model, specifically ... |
Yannic Kilchner | https://www.youtube.com/watch?v=G7-fRGaCZts | [ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person | #pathways #mlnews #ego4d
Your irregular dose of Machine Learning News.
OUTLINE:
0:00 - Intro
0:20 - Sponsor: Weights & Biases
2:10 - Google Introduces Pathways AI Architecture
6:30 - OpenAI trains Language Models to do High School Math
8:25 - Sam Altman says Neural Networks truly learn
9:35 - Google AI researchers fr... | Google introduces pathways, their next generation AI architecture, open AI solves high school math problems. And Facebook goes all on first person view. Welcome to ML news. Before the video starts, a quick thanks to our sponsor weights and biases. I want to show you this one feature that I just learned about. Did you ... | [{"start": 0.0, "end": 7.44, "text": " Google introduces pathways, their next generation AI architecture, open AI solves high school"}, {"start": 7.44, "end": 9.28, "text": " math problems."}, {"start": 9.28, "end": 12.68, "text": " And Facebook goes all on first person view."}, {"start": 12.68, "end": 15.68, "text": "... |
Yannic Kilchner | https://www.youtube.com/watch?v=NJCLUzkn-sA | EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained) | #efficientzero #muzero #atari
Reinforcement Learning methods are notoriously data-hungry. Notably, MuZero learns a latent world model just from scalar feedback of reward- and policy-predictions, and therefore relies on scale to perform well. However, most RL algorithms fail when presented with very little data. Effici... | Hi there, today we're going to look at mastering Atari games with limited data by Wajiru Ye, Shaohua Liu, Tanahard Kuretaj, Pietro Biel and Yang Gao. This paper presents the efficient zero model, which is a model that can do reinforcement learning with severely limited data. So the paper tackles the Atari 100k benchma... | [{"start": 0.0, "end": 5.92, "text": " Hi there, today we're going to look at mastering Atari games with limited data by Wajiru Ye,"}, {"start": 5.92, "end": 13.280000000000001, "text": " Shaohua Liu, Tanahard Kuretaj, Pietro Biel and Yang Gao. This paper presents the efficient"}, {"start": 13.280000000000001, "end": 1... |
Yannic Kilchner | https://www.youtube.com/watch?v=kEhEbVZQwjM | [YTalks] Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview) | #ytalks #siraj #plagiarism
A conversation with Siraj Raval about his journey on YouTube, and the perils of fame.
OUTLINE:
0:00 - Intro
1:30 - Welcome
3:15 - Starting out: From Economics to YouTube
13:00 - More Views: Plagiarizing Video Content
23:30 - One Step Up: Copying A Research Paper
29:15 - Was there another wa... | The following is a conversation with Siraj Raval. Siraj has one of the largest channels in the machine learning YouTube space. Over 700,000 people are subscribed to him as of this date. Siraj pumped out lots and lots of videos on topics such as coding tutorials, explaining beginners concepts in machine learning, and i... | [{"start": 0.0, "end": 9.0, "text": " The following is a conversation with Siraj Raval. Siraj has one of the largest channels in the machine learning YouTube space."}, {"start": 9.0, "end": 14.0, "text": " Over 700,000 people are subscribed to him as of this date."}, {"start": 14.0, "end": 24.0, "text": " Siraj pumped ... |
Yannic Kilchner | https://www.youtube.com/watch?v=U8Rmfb8aZXE | [ML News] NVIDIA GTC'21 | DeepMind buys MuJoCo | Google predicts spreadsheet formulas | #gtc21 #mlnews #mujoco
Register to GTC'21 and Win a RTX 3090: https://nvda.ws/2Y2B5ni
OUTLINE:
0:00 - Intro
0:15 - Sponsor: NVIDIA GTC'21
5:35 - DeepMind buys & Open-Sources MuJoCo
7:25 - PyTorch 1.10 Released
9:10 - Google Predicts Spreadsheet Formulas
11:25 - handtracking.io
12:25 - Cell Instance Segmentation Chall... | NVIDIA holds a giant conference DeepMind buys and open sources Mujoko and Google predicts what you're gonna write in a spreadsheet. Welcome to ML News. Hello, hello, this video is sponsored by NVIDIA actually, not just NVIDIA, but they want to raise awareness for their GTC conference which happens November 8 through 1... | [{"start": 0.0, "end": 5.84, "text": " NVIDIA holds a giant conference DeepMind buys and open sources Mujoko and Google"}, {"start": 5.84, "end": 10.0, "text": " predicts what you're gonna write in a spreadsheet. Welcome to ML News."}, {"start": 14.56, "end": 20.88, "text": " Hello, hello, this video is sponsored by NV... |
Yannic Kilchner | https://www.youtube.com/watch?v=ch2O2fwWI-k | [ML News GERMAN] NVIDIA GTC'21 | DeepMind kauft MuJoCo | Google Lernt Spreadsheet Formeln | #gtc21 #mlnews #mujoco
Registriere für GTC'21 und gewinne eine RTX 3090: https://nvda.ws/2Y2B5ni
OUTLINE:
0:00 - Intro
0:15 - Sponsor: NVIDIA GTC'21
6:10 - DeepMind kauft & Open-Sourct MuJoCo
9:05 - PyTorch 1.10 Veröffentlicht
11:25 - Google Lernt Spreadsheet Formeln
14:15 - handtracking.io
15:25 - Zellinstanzsegment... | NVIDIA erhaltet eine riesige Konferenz, DeepMind open-sourced den Mujoko Simulator und Google sagt voraus, was ihr in euren Spreadsheets zuschreibt. Willkommen zu der deutschen Version von ML News. Hallo und willkommen zu ML News, auch genannt Maschinelles Lernen Neuigkeiten. Die erste Story ist folgende. NVIDIA hat e... | [{"start": 0.0, "end": 10.0, "text": " NVIDIA erhaltet eine riesige Konferenz, DeepMind open-sourced den Mujoko Simulator und Google sagt voraus, was ihr in euren Spreadsheets zuschreibt."}, {"start": 10.0, "end": 14.0, "text": " Willkommen zu der deutschen Version von ML News."}, {"start": 19.0, "end": 25.0, "text": "... |
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