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Available already in the hub:
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"label": null... | ๐ย Now it is possible to chat with telemetry data from real Formula 1 races!
This is an AI-powered solution for analyzing and generating detailed reports on Formula 1 racing sessions. This project combines the power of ReAct agents from LangChain with a RAG approach to pull data from a SQL database.
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"raw": "Hunyuan3D-1 - SOTA Open Source Text-to-3D and Image-to-3D - 1-Click Install and use both Locally on Windows and on Cl... | Hunyuan3D-1 - SOTA Open Source Text-to-3D and Image-to-3D - 1-Click Install and use both Locally on Windows and on Cloud - RunPod and Massed Compute
Automatic Installers
Works amazing on 24 GB GPUs
Files > https://www.patreon.com/posts/115412205
So what is Hunyuan3D-1
Official repo : https://github.com/tencent/Hunyua... | {
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"hre... | ๐จ๐ฅ New Release Alert! ๐ฅ๐จ
Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! ๐ป๐ฅ
๐ Check it out: https://huggingface.co/hbseong/HarmAug-Guard (Yes, INFERENCE CODE INCLUDED! ๐ก)
More details in our paper: https://arxiv.org/abs/2410.01524 ๐
#HarmAug #LLM # Sa... | {
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"value": "Effortlessly stay up-to-date with AI research trends using a new AI tool, \"AI Paper Reviewer\" !! ",
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"co... | Effortlessly stay up-to-date with AI research trends using a new AI tool, "AI Paper Reviewer" !!
It analyzes a list of Hugging Face Daily Papers(w/ @akhaliq) and turn them into insightful blog posts. This project leverages Gemini models (1.5 Pro, 1.5 Flash, and 1.5 Flash-8B) for content generation and Upstage Documen... | {
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"type": "new_line"... | I still think whitespace in tokenizers are so dumb.
Congrats, you just doubled your vocab size for no reason. | {
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... | ๐ซต๐พ LM Studio is hiring engineers who know the ins and outs of NodeJS & want to work on local LLMs.
Know anyone who might be interested?
Apply here: https://docs.google.com/forms/d/e/1FAIpQLSc_786-_i_q4fo5ESqYnNyjIH0B5Rs45QIwejd_NV5AjNDZ7A/viewform | {
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... | Glad to see Idefics2 making its way into the awesome OpenVLM Leaderboard which ranks VLMs. ๐
2nd in its category (<10B parameters and open weights)!
While InternLM-XComposer2 uses proprietary data, Idefics2 is built solely using openly available data.
Leaderboard: https://huggingface.co/spaces/opencompass/open_vlm_l... | {
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... | Benchmarks!
I have lately been diving deep into the main benchmarks we all use to evaluate and compare models.
If you've never actually looked under the hood for how benchmarks work, check out the LM eval harness from EleutherAI: https://github.com/EleutherAI/lm-evaluation-harness
+ check out the benchmark datasets... | {
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So I asked my agent to create a collection
https://huggingface.co/collections/xianbao/llama3-zh-662ba8503bdfe51948a28403
code: https://colab.research.google.com/drive/1ap6fP-VytZE367Nqk26DeQqgQkYaf-cD#scrollTo=eljRbYb4c92M
Would... | {
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Microsoft Reports Rising Revenues as A.I. Investments Bear Fruit
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Base: https://huggingface.co/Qwen/Qwen1.5-110B
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๐ Title: ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving ๐
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... | ๐ฆ๐ฆ LLaMA Duo project update
Last time, I gave a brief introduction about LLaMA Duo project with @sayakpaul . It is a simple toolset to aligning sLLM with service LLM with coverage dataset ๐๐ป (https://huggingface.co/posts/chansung/708646454991943).
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CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
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An AI startup made a hyperrealistic deepfake of me thatโs so good itโs scary
- "'I think we might just have to say goodbye to finding out about the truth in a quick way,โ says Sandra Wachter, a professor at the Oxford Internet Institute"
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build a port of our AutoAgents framework in mlx and develop a demo using a gguf weight - it got close to nailing it (with guidance).
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"value... | ๐ค Can We Train Chat Models with Raw Data? #1
The idea of training a chat model with desired raw data is incredibly appealing.
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"raw": "๐๐บ๐ New Research Alert - CVPR 2024 (Avatars Collection)! ๐๐๐",
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... | ๐๐บ๐ New Research Alert - CVPR 2024 (Avatars Collection)! ๐๐๐
๐ Title: WANDR: Intention-guided Human Motion Generation ๐
๐ Description: WANDR is a conditional Variational AutoEncoder (c-VAE) that generates realistic motion of human avatars that navigate towards an arbitrary goal location and reach for it.
๐ฅ ... | {
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"raw": "Open VLM Leaderboard j... | Open VLM Leaderboard just updated the performance of GPT-4v (20240409), the new proprietary model ranked 1st across 50+ VLMs. Compared to the pervious version (20231106), the improvements on multimodal perception and reasoning are both huge.
Check the results:
https://huggingface.co/spaces/opencompass/open_vlm_lead... | {
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"co... | It's been only a week since I joined ๐ค and the community has released a constant flow of content!
Notable models:
- Apple OpenELM https://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca + https://huggingface.co/collections/apple/openelm-pretrained-models-6619ac6ca12a10bd0d0df89e
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"raw"... | How to Finetune phi-3 on MacBook Pro
https://huggingface.co/blog/abhishek/phi3-finetune-macbook | {
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... | just landed at Hugging Face Hub: community-led computer vision course ๐๐ค
learn from fundamentals to details of the bleeding edge vision transformers!
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"user": nul... | Happy to announce the open source framework to turbo charge devops called patchwork - https://github.com/patched-codes/patchwork
You can use it to build patchflows - workflows that use LLMs for software development tasks like bug fixing, pull request review, library migration and documentation.
Supports any LLM of ... | {
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An Efficient Language Model Family with Open-source Training and Inference Framework
https://huggingface.co/papers/2404.14619
The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data a... | {
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"url":... | I have built a Space to compare different vision language model outputs, which model should I add next? ๐
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... | Fine tune Phi-3 using samatha themed dataset and Huggingface SFT trainer!
In this colab, we simply apply a supervised finetune to phi-3 using the sharegpt format.
```
def formatting_prompts_func(examples):
convos = examples["conversations"]
texts = []
mapper = {"system": "system\n", "human": "\nuser\n", "... | {
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In this video, I explain how to 1 click install and use the most advanced image upscaler / enhancer in the world that is both commercially and open source available. The upscaler that I am going to in... | {
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... | Phi-3 Technical Report
A Highly Capable Language Model Locally on Your Phone
https://huggingface.co/papers/2404.14219
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of... | {
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... | Testing the Phi-3-mini 4k on HuggingChat. How well can it craft a tweet?
Not bad at all:
```
Excited to unveil phi-3-mini, a compact yet powerful 3.8B parameter model, outperforming giants like Mixtral & GPT-3.5 on benchmarks & safe for phones! *
#Al #Phi3 #LanguageModel #Techinnovation #Phi3Miniml
```
The models ar... | {
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"href": "htt... | Happy to announce https://imgsys.org -- a sister project to Chatbot Arena by lmsys -- for comparing different text guided image generation models models. Try it natively on HuggingFace: https://huggingface.co/spaces/fal-ai/imgsys | {
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... | Thrilled to introduce our Hyper-SD, offering hyper-fastโก๏ธ and hyper-qualityโจ text-to-image generation.
Our model achieves SINGLE-STEP inference on both SD1.5 and SDXL architecture without evident losses of aesthetics, styles and structures.
Project page: https://hyper-sd.github.io
HuggingFace repo: https://huggingface.... | {
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... | All You need To Know About Phi-3 (Technical Report Walkthrough)
Summary of Summaries:
Phi-3-mini
- Architecture specs: decoder-only transformer, ModelSize: 3.8 billion
parameters, LongRope [ 128K Context length ], Vocab Size [ 32064 ],
trained on 3.3 trillion tokens. at bfloat16.
- Rivals performance to larger ... | {
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"type": "new... | ๐๐ญ๐ฅ New Research Alert (Avatars Collection)! ๐ฅ๐๐
๐ Title: Learn2Talk: 3D Talking Face Learns from 2D Talking Face
๐ Description: Learn2Talk is a framework that leverages expertise from 2D talking face methods to improve 3D talking face synthesis, focusing on lip synchronization and speech perception.
๐ฅ Autho... | {
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"raw": "Trained another version of llama3-8b-instruct which beats the base model. ... | Trained another version of llama3-8b-instruct which beats the base model. This time without losing too many points on gsm8k benchmark. Again, using AutoTrain ๐ฅ pip install autotrain-advanced
Trained model: https://huggingface.co/abhishek/autotrain-llama3-orpo-v2 | {
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"raw": "We release an empirical study to showcase \"How Good Are Low-bit Quantized hashtag#LLaMA3 ๐ฆ Models\" with existing LLM q... | We release an empirical study to showcase "How Good Are Low-bit Quantized hashtag#LLaMA3 ๐ฆ Models" with existing LLM quantization techniques!
In this study, the performance of the low-bit LLaMA3 models (especially LLaMA3-70B) is impressively notable. ๐ However, the results also exposed significant performance degrad... | {
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"type": ... | ByteDance released new distillation technique Hyper-SD (https://huggingface.co/ByteDance/Hyper-SD) for efficient image generation.
Here a few demos:
Official:
Hyper-SDXL-1Step-T2I https://huggingface.co/spaces/ByteDance/Hyper-SDXL-1Step-T2I
Hyper-SD15-Scribble https://huggingface.co/spaces/ByteDance/Hyper-SD15-Scrib... | {
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"... | I'm super happy to co-organize the (Mechanistic) Interpretability social at #ICLR2024 with @nikhil07prakash ! ๐
If you plan to attend, help us make this meetup awesome by filling the form below! ๐
๐
Wed, May 8, 12:45-2:15 PM
๐ RSVP & share your ideas here: https://forms.gle/FWap4KW2ikdntjfb8 | {
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These models are designed to engage in dialogues that are not only contextually relevant but also deeply empathetic, tailoring their responses to the emotional state and context of the user. With advanced emotional understanding capabilities, they can comfort, ce... | {
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... | InstantStyle works with the 2-step SDXL-Lightning distilled model, reducing generation time from ~20s to ~9s!
In a big related update, as of today, Diffusers@main supports InstantStyle. I'm looking forward to playing with it!
https://github.com/huggingface/diffusers/pull/7668
https://huggingface.co/spaces/radames/I... | {
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"... | Unlocking the Power of locally running Llama-3 8B Model Agents with Chat-UI! ๐ฅ๐โจ
I'm thrilled to share my hackathon-style side project:
1. Finetuning Llama-8B for function calling using PEFT QLoRA as the instruct Llama-3 model doesn't support this. The colab notebook for it is here: https://lnkd.in/ggJMzqh2. ๐ ๏ธ
2.... | {
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"resource": ... | Prompting BERT!
Zero-shot learning ability is the hottest thing about causal LLMs. You don't need to finetune causal LLMs on each specific task. Instead, you can use prompting and get a decent performance on unseen tasks.
Unfortunately, autoencoding LLMs - like our dear friend BERT ๐โโ๏ธ- lack this ability and you n... | {
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Training on interleaved data is crucial to reaching high performance on VQA tasks, taking an arbitrary number of images as input, and doing in-context learning.
Dataset: https://huggingface.co/datasets/HuggingFaceM4/OBELICS
Nomic... | {
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"val... | Please... feed this Llama some Sauerkraut! ๐ฒ
Said and done. Here it is. Our Sauerkraut Version of the strong Llama3-8b by Meta. Released from HANNOVER MESSE, just in front of meta booth.
https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
According to benchmarks (LM-Evaluation-Harness 0.4.2), our ... | {
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}... | Meta Llama 3 70B landed on the Leaderboard at the 11th position: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard | {
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"value... | **Release Announcement: gliner_multi_pii-v1**
I am pleased to announce the release of gliner_multi_pii-v1, a model developed for recognizing a wide range of Personally Identifiable Information (PII). This model is the result of fine-tuning the urchade/gliner_multi-v2.1 on synthetic dataset (urchade/synthetic-pii-ner-m... | {
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... | ChemLLM datasets is all open source now!
https://huggingface.co/papers/2402.06852
700K of SFT Dataset, ChemData700K For Chemistry of LLM!
https://huggingface.co/datasets/AI4Chem/ChemData700K
10K of DPO Dataset, ChemPref-10K, both English and Chinese!
https://huggingface.co/datasets/AI4Chem/ChemPref-DPO-for-Chemistry-da... | {
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"... | ๐ฅ **transformers** 4.40.0 is out ๐ฅ
โ๏ธ you can now push your custom pipelines easily to ๐ค, allowing people to easily use your model in a more friendly, unified way.
๐ค I already updated my blog to match the new feature https://huggingface.co/blog/not-lain/custom-architectures-with-huggingface.
๐A list of some ... | {
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"resou... | #TPU #PyTorch #Jax
When You're trying to use PyTorch or Jax on TPU,
for v2/v3/v4:
use tpu-ubuntu2204-base
for v5p:
use v2-alpha-tpuv5
for v5e:
use v2-alpha-tpuv5-lite
You must use these base images for the system to 'boot'.
Previously used tpu-vm-v4-pt-1.13 images might seem to start the VM, but SSH connect... | {
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"raw": "https://huggingface.co/meta-l... | Meta's new LLama-3 (https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) is an extremely capable model out of the box for coding related tasks. It is the first model that we have seen that beats GPT-4 on Static-Analysis-Eval - https://huggingface.co/datasets/patched-codes/static-analysis-eval. | {
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... | 2024-04-22T00:39:10.000Z | 2024-04-22T00:39:24.592Z | [] | /posts/codelion/406890518970199 | 1,816 | 0 |
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"value": "๐๐ค๐ New Research Alert - NAACL 2024 (Big Five Personality Traits Collection)! ๐๐๐ค",
"raw": "๐๐ค๐ New Research Alert - NAACL 2024 (Big Five Personality Traits Collection)! ๐๐๐ค",
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"user": n... | ๐๐ค๐ New Research Alert - NAACL 2024 (Big Five Personality Traits Collection)! ๐๐๐ค
๐ Title: PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits ๐ฌ
๐ Description: This research examines the ability of LLMs to express personality traits and finds that LLMs can generate con... | {
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... | Open Models vs. Closed APIs for Software Engineers
-----------------------------------------------------------------------
If you're an ML researcher / scientist, you probably don't need much convincing to use open models instead of closed APIs -- open models give you reproducibility and let you deeply investigate the... | {
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"res... | Already almost 1,000 llama3 model variations have been shared publicly on HF (many more in private use at companies): https://huggingface.co/models?p=5&sort=trending&search=llama3.
Everyone should fine-tune their own models for their use-cases, languages, industry, infra constraints,...
10,000 llama3 variants by th... | {
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... | ๐๐โโ๏ธ๐ฅ New Research Alert (Avatars Collection)! ๐ฅ๐โโ๏ธ๐
๐ Title: HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
๐ Description: HairFastGAN is a fast, encoder-based approach to realistic and robust hair transfer that operates in the FS latent space of StyleGAN and includes enh... | {
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... | # On Coding Your First Attention
While itโs not necessarily the case that you must code the attention block of a transformer from scratch to understand how it works, yet it sure is the closest you can get to having a first-principles understanding of why/how transformers behave the way they do.
@karpathy covered atte... | {
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"href": ... | Shining Valiant 2 is here!
Finetuned on Llama 3 70b.
Super excited to build with Llama 3 - more models to come soon :)
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"resou... | Dynamic Typography
Bringing Words to Life
https://huggingface.co/papers/2404.11614
Text animation serves as an expressive medium, transforming static communication into dynamic experiences by infusing words with motion to evoke emotions, emphasize meanings, and construct compelling narratives. Crafting animations th... | {
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"type"... | ๐ป Smoothing the Transition from Service LLM to Local LLM
Imagine your go-to LLM service is down, or you need to use it offline โ yikes! This project is all about having that "Plan B" ready to go. Here's LLaMA Duo I've been building with @sayakpaul :
โจ Fine-tune a smaller LLM: We used Hugging Face's alignment-handboo... | {
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๐ Title: Generalizable Face Landmarking Guided by Conditional Face Warping
๐ Description: A new method is proposed to learn a generalizable face landmark that can handle different facial styles, using labeled real faces and unlabeled stylized faces.
๐ฅ Authors: Ji... | {
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"hr... | New multimodal dataset by @xai-org @liuhaotian ๐คฉโค๏ธ https://huggingface.co/datasets/xai-org/RealworldQA | {
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"raw": "The Cauldron is a massive collection of 50 high-quality datasets, all converted to the user/assista... | The Cauldron is a massive collection of 50 high-quality datasets, all converted to the user/assistant format, and ready to use to fine-tune any Vision Language Model.
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"ra... | Can't wait to see multimodal LLama 3!
We released a resource that might come in handy: The Cauldron ๐ฏ
The Cauldron is a massive manually-curated collection of 50 vision-language sets for instruction fine-tuning. 3.6M images, 30.3M query/answer pairs.
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... | Do I need to make it a tradition to post here every Friday? Well, here we are again!
This week, I'm happy to share that we have two official Mistral models on the Leaderboard! ๐ฅ You can check them out: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1 and https://huggingface.co/mistralai/Mixtral-8x22B-v0.1... | {
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... | Love this new Space built by @enzostvs + @Xenova for Transformers.js: Generate your own AI music (In-browser generation) with AI Jukebox
https://huggingface.co/spaces/enzostvs/ai-jukebox | {
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... | IMO, the "grounded generation" feature from Cohere's CommandR+ has flown under the radar...
For RAG use cases, responses directly include inline citations, making source attribution an inherent part of generation rather than an afterthought ๐
Who's working on an open dataset with this for the HF community to fine-tu... | {
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... | 2024-04-19T12:07:35.000Z | 2024-04-22T22:06:36.355Z | [
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As of now, most VLMs, including GPT-4V and LLaVA-Next-34B, struggle with refusing to answer
Dataset https://huggingface.co/datasets/MM-UPD/MM-UPD
Paper https://huggingface.co/papers/2403.20331 | {
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"raw": "https://huggingface... | ๐ฆซ We have just released https://huggingface.co/datasets/argilla/Capybara-Preferences in collaboration with Kaist AI (@JW17, @nlee-208) and Hugging Face (@lewtun)
A new synthetic preference dataset built using `distilabel` on top of the awesome https://huggingface.co/datasets/LDJnr/Capybara from @LDJnr
The current d... | {
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The newly released @jinaai rerankers are small in size and almost as accurate as our base reranker. This means given a time constraint, it can scoring more candidate documents from embedding models and have... | {
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"type": "resou... | Turns out if you do a cute little hack, you can make https://hf.co/nateraw/musicgen-songstarter-v0.2 work on vocal inputs. ๐
Now, you can hum an idea for a song and get a music sample generated with AI ๐ฅ๐ฅ
Give it a try: โก๏ธ https://hf.co/spaces/nateraw/singing-songstarter โฌ
๏ธ
It'll take your voice and try to autot... | {
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... | ๐ฅณ New license for datasets: Apache 2.0!
I have been struggling mentally for many months now with the OpenAI terms of use that indicate that their model outputs cannot be used to build "competing models". This leads to many questions:
- what is the definition of competing? Is it the same as "commercial"?
- since this... | {
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... | Open-source AI on your phone? The HuggingChat app is out for iOs, with the best models: Command R, Zephyr Orpo, Mixtral, Gemma... https://apps.apple.com/ca/app/huggingchat/id6476778843?l=fr-CA | {
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... | In a basic chatbots, errors are annoyances. In medical LLMs, errors can have life-threatening consequences ๐ฉธ
It's therefore vital to benchmark/follow advances in medical LLMs before even thinking about deployment.
This is why a small research team introduced a medical LLM leaderboard, to get reproducible and compara... | {
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1๏ธโฃ A new loss function: CachedGISTEmbedLoss
This loss function is a combination of CachedMultipleNegativesRankingLoss and the GI... | {
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"raw": "๐ฅ Next Thursday 4/25 at 8am PT / 11am ET / 17h CET, join our live Hugging Cast to learn how to deploy open models on Google Cloud.... | ๐ฅ Next Thursday 4/25 at 8am PT / 11am ET / 17h CET, join our live Hugging Cast to learn how to deploy open models on Google Cloud.
Register โก๏ธ https://streamyard.com/watch/xz2nxp85Pi6e
@philschmid , @tengomucho , @jeffboudier will show you brand new Hub integrations built with GCP
๐ฅ with HF Inference Endpoints... | {
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... | ๐ **InfiniTransformer, Gemma/Llama3 based Implementation!** ๐
> Update @ 2024.04.19: It now supports Llama-3!
> Note: this implementation is unofficial
This implementation is designed to handle virtually infinite context lengths.
Here's the github repo: https://github.com/Beomi/InfiniTransformer
๐ **Read the or... | {
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"raw": "Multilingual RAG optimized models and datasets available from the Language Technologies Unit @ the Barcelona Supercomputing Unit",
"h... | Multilingual RAG optimized models and datasets available from the Language Technologies Unit @ the Barcelona Supercomputing Unit
We are releasing new RAG-optimized multilingual models and dataset, within the AINA project contributions:
https://huggingface.co/projecte-aina/FlorRAG , based on out Bloom Flor6.3b model, c... | {
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Summary of Summaries
- The paper introduces VASA, a framework for generating lifelike talking faces with appealing visual affective skills (VAS) from a single image and speech audio.... | {
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... | We posted new SOTA SambaLingo 70B parameter models for Arabic, Thai and Hungarian!
Check out the models here https://huggingface.co/collections/sambanovasystems/sambalingo-65e25770f2037c85ad35ca77
and our paper
https://arxiv.org/abs/2404.05829
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๐ต๏ธโโ๏ธIdefics 2 is out, a multimodal open-source model with very nice capabilities
Models, demo, and datasets: https://hf.co/collections/HuggingFaceM4/idefics2-661d1971b7c50831dd3ce0fe
Blog: https://hf.co/blog/idefics2
๐พSnowflake released snowflake-arctic-embed, a family of powerfu... | {
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"value": "๐๐ค๐ New Research Alert - LREC-COLING 2024 (Big Five Personality Traits Collection)! ๐๐๐ค",
"raw": "๐๐ค๐ New Research Alert - LREC-COLING 2024 (Big Five Personality Traits Collection)! ๐๐๐ค",
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... | ๐๐ค๐ New Research Alert - LREC-COLING 2024 (Big Five Personality Traits Collection)! ๐๐๐ค
๐ Title: PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
๐ Description: The PSYDIAL presents a novel pipeline for generating personality-based synthetic dialog data to elicit more human-... | {
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"value": "I see you all send your documents to close-source APIs, this is not ok ๐ it breaks my heart ๐ ",
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I have seen many open-source document models, and I am amazed by what IDEFICS2 has done with document understanding ๐คฏ๐คฉ it's not something you've ever seen before! https://huggingface.co/spaces/HuggingFaceM4/idefics-8b
Pl... | {
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"resourc... | ๐ฃ I'm thrilled to announce "ALERT: A Comprehensive #Benchmark for Assessing #LLMsโ Safety through #RedTeaming" ๐จ
๐ Paper: https://arxiv.org/pdf/2404.08676.pdf
๐๏ธ Repo: https://github.com/Babelscape/ALERT
๐ค ALERT benchmark: https://huggingface.co/datasets/Babelscape/ALERT
๐ค ALERT DPO data: https://huggingface.co/... | {
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"raw": "Contamination free code evaluations with LiveCodeBench! ๐ฅ๏ธ",
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LiveCodeBench is a new leaderboard, which contains:
- complete code evaluations (on code generation, self repair, code execution, tests)
- my favorite feature: problem selection by publication date ๐
This feature means that you can get model scores average... | {
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... | 2024-04-17T09:22:59.000Z | 2024-04-17T11:11:27.460Z | [] | /posts/clefourrier/956458994459153 | 4,225 | 0 |
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With @haixuantao and @Leyo weโve been playing with a low-cost DJI robot controlled by three local open-source AI models (Whisper, Idefics2, Parler-TTS - all Apache2) and orchestrated by Dora-cs.
Links to find all the hardware/software we used in the demo:
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"type": "new_line"... | ๐ Evaluate your RL agents - who's best at Atari?๐
The new RL leaderboard evaluates agents in 87 possible environments (from Atari ๐ฎ to motion control simulations๐ถand more)!
When you submit your model, it's run and evaluated in real time - and the leaderboard displays small videos of the best model's run, which i... | {
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"value": "Excited to share that our paper: \"AutoAgents: A Framework for Automatic Agent Generation\" got accepted to this year's @ IJCAI ๐๐ฅณ",
"raw": "Excited to share that our paper: \"AutoAgents: A Framework for Automatic Agent Generation\" got accepted to this year's @ IJCAI ๐๏ฟฝ... | Excited to share that our paper: "AutoAgents: A Framework for Automatic Agent Generation" got accepted to this year's @ IJCAI ๐๐ฅณ
As a young aspiring AI researcher, this one means a lot, as it is the first ever paper I was blessed to contribute in. Thanks to the incredibly brilliant minds I got to work with (Guangya... | {
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