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marginalia leverages vllm inference speed to re-generate until all the output matches an expected json structure and to send ... | {
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their secret sauce is.. synthetic data pseudolabeled by Stockfish engine 😀
2024 really is the year of synthetic data across all domains!
There's a nice discussion here, join us https://huggingface.co/papers/2402.04494 | {
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"href"... | 🤗 Data is better together!
Data is essential for training good AI systems. We believe that the amazing community built around open machine learning can also work on developing amazing datasets together.
To explore how this can be done, Argilla and Hugging Face are thrilled to announce a collaborative project where ... | {
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... | Created a collection with all the LLM hallucination and evaluation papers I've been reading over the last few weeks 📄📄
https://huggingface.co/collections/santiviquez/llm-hallucination-detection-papers-65c4d2399096960aa80776d3
Which one should I add to the list? | {
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This works introduces a model editing approach using individual “canonical” examples to showcase desired/unwanted behavior. An evaluation is then conducted on out-of-distr... | {
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Finally that paranoid inside me got some rest 😂 | {
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... | Hear, hear, AMD MI300Xs have started to emerge much sooner than expected.
Here is a 2-part benchmarks report on performing BLOOM-176B inference using @MSFTDeepSpeed optimized for AMD MI300X.
1. https://www.evp.cloud/post/diving-deeper-insights-from-our-llm-inference-testing
2. https://www.evp.cloud/post/diving-deepe... | {
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Everything runs 100% locally, meaning none of your images are uploaded to a server! 🤯 At only ~45MB, the 8-bit quantized version of the model is perfect for in-browser usage (it even work... | {
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... | Introducing UNA-SimpleSmaug-34b:
Based on Smaug-34B-v0.1, capable of slightly outperform his base model and with increased math and reasoning thanks to simple-math dataset.
The model exhibits a great performance across diverse tasks with an excellent and balanced behaviour.
It scores 77.41 AVG on the Leaderboard, land... | {
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"user... | Repo with scripts to create your own moe models using Apple mlx is constantly updated by @mzbac here: https://github.com/mzbac/mlx-moe
It's an amazing resource to learn inner workings of lora on moe with mlx.
It uses https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_70k as default dataset, but can be ea... | {
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"... | ✨ In-context learning is all you need!
This super interesting paper shows that fine-tuning with #SFT or #RLHF only helps on the form but does not impact knowledge or reasoning abilities, and in some cases, actually decreases performance!
They tested it with Mistral-base vs Mistral FT-ed, as well as Llama 2 70b base a... | {
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Today, we are thrilled to officially launch the "2A2I" Arabic Artificial Intelligence Initiative. This is a community-driven initiative founded on the philosophy of "Small team, Big work" Our goal is to elevate Arabic AI (LLMs, Diffusion Models, ASR, etc.) to the same level as English (and also Chinese 🐉).
Nat... | {
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https://huggingface.co/papers/2402.05120
find that, simply via a sampling-and-voting method, the performance of large language models (LLMs) scales with the number of agents instantiated. Also, this method is orthogonal to existing complicated methods to further enhance LLMs, while the deg... | {
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This work proposes extending the LRP feature attribution framework to handling Transformers-specific layers. In particular: authors:
1. Propose a generalized approach t... | {
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Both of these pages consists of models you can use off-the-shelf 💜
Reading these you can start building in no time 🛠️
Task page for zero-shot object detection 👉 https://huggingface.co/tasks/zero-shot-object-detection 📚
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space: https://huggingface.co/spaces/cis-lmu/glotlid-space
model: https://huggingface.co/cis-lmu/glotlid
github: https://github.com/cisnlp/GlotLID
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Hugging Face's TGI now supports an OpenAI compatible Chat Completion API
This means you can transition code that uses OpenAI client libraries (or frameworks like LangChain 🦜 and LlamaIndex 🦙) to run open models by changing just two lines of code 🤗
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... | First HF social post:
pip install -U mlx | {
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"href": null... | Apple MLX 0.2.0 is here!
@awni and his team did again! Mega release.
Performance 💨💨💨 is coming to town!
mx.compile makes stuff go fast
- Some functions are up to 10x faster (benchmarks: https://github.com/ml-explore/mlx/pull/614#issuecomment-1929056286)
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Quip-# is a quantization method proposed by [Cornell-RelaxML](https://github.com/Cornell-RelaxML) that claims tremendous performance gains using only 2-bit precision.
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Retrieval Augmented Generation (RAG) is a strategy to alleviate LLM hallucinations and improve the quality of generated responses.
A standard RAG architecture has two main blocks: a Retriever and a Generator.
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https://huggingface.co/papers/2402.04494
largest model reaches a Lichess blitz Elo of 2895 against humans, and successfully solves a series of challenging chess puzzles, without any domain-specific tweaks or explicit search algorithms. We also show that our model outperforms Alp... | {
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Issues of overfitting to a test set seem like concepts from boring times when people still fine-tuned models, but it's just as important for "zeroshot prompting". Using... | {
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https://colab.research.google.com/drive/1PGMj7jlkJaCiSNNihA2NtpILsRgkRXrJ#scrollTo=wXqoH2TMnjjp
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With detailed work on dataset curation, the Bunny-3B model built upon SigLIP and Phi-2 achieves performance on par with 13B models.
Model: https://huggingface.co/BAAI/bunny-phi-2-siglip-lora
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@huggingface
I initially shared this misconception too, but after conducting some research, I came up with the list below.
Veryimpressive!
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"type": "new_line"... | 🌠 Let's try to figure out this one as a community.
What reactions should we add to Posts and discussions?
If the reaction you want is already in the replies give it a thumbs up (👍) if it's not just add it as a reply. | {
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This work discusses the dichotomy between faithfulness and plausibility in LLMs’ self-explanations (SEs) in natural langua... | {
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"raw": ... | #lg #gram #solarllm BREAKING NEWS:
upstage/Solar LLM will soon be available for LG gram Laptops as an on-device LLM. 💻🌞🎉
Upstage makes LLMs accessible to everyone and every device. We'd love to see more on-device LLMs.
https://koreajoongangdaily.joins.com/news/2024-02-06/business/industry/LG-Electronics-signs-pa... | {
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... | 2024-02-08T00:04:03.000Z | 2024-02-09T08:44:41.624Z | [
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652405554202758 | [
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"url... | From @IkariDev and @Undi95
New release from NeverSleep!
MiquMaid-v2-70B
https://huggingface.co/NeverSleep/MiquMaid-v2-70B
https://huggingface.co/NeverSleep/MiquMaid-v2-70B-GGUF
DPO version
https://huggingface.co/NeverSleep/MiquMaid-v2-70B-DPO
https://huggingface.co/NeverSleep/MiquMaid-v2-70B-DPO-GGUF
MiquMaid-v2-2x7... | {
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"raw": ... | Are you up to a 🤗 challenge 🏆 ?
if so 👀 Check out the new MindBigData Leaderboard 🔥🔥🔥
🚀 https://huggingface.co/spaces/DavidVivancos/MindBigData-Leaderboard
Decode the "source" 🧠 with the largest multimodal opendata of brain signals for Machine Learning.
Try to beat the whopping 🥇98,97% accuracy of ... | {
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"v... | EVA-CLIP 🦖 is the CLIP scaled to the moon! 🔥
The new SotA CLIP-like model 🏆
Highlights ✨
- Performs better in linear probing
- Outperforms in Zero-Shot Image-Text Retrieval
- Higher zero-shot accuracy in IN-1K
As usual, try it with the notebook I built for you https://colab.research.google.com/drive/1K7DdCORC3x... | {
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... | Super excited to share my project, ageML, here! 😊
ageML is a Python library I've been building to study the temporal performance degradation of ML models.
The goal of the project is to facilitate the exploration of performance degradation by providing tools for people to easily test how their models would evolve ov... | {
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Large Language Models Self-Compose Reasoning Structures
paper page: https://huggingface.co/papers/2402.03620
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Pushing the Limits of Mathematical Reasoning in Open Language Models
paper page: https://huggingface.co/papers/2402.03300
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BARTScore is a text-generation evaluation metric that treats model evaluation as a text-generation task 🔄
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"... | Some of my results from experimenting with hallucination detection techniques for LLMs 🫨🔍
First, the two main ideas used in the experiments—using token probabilities and LLM-Eval scores—are taken from these three papers:
1. https://huggingface.co/papers/2208.05309
2. https://huggingface.co/papers/2303.08896
3. http... | {
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This work introduces a new methodology for human verification of ... | {
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"... | 📣 DPO Dutch model release + datasets
After teasing for a while, I am finally releasing **GEITje 7B Ultra**, building upon the great GEITje 7B by @Rijgersberg. New contributions include: large new datasets for SFT (instruction/chat), two datasets for DPO training (i.e. RLAIF), and an SFT and DPO version of GEITje. Th... | {
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"l... | Introducing model-similarities, a new simple tool to contrast two models
A straightforward yet insightful tool designed to shed light on the similarities between various models. Discover it now at [Model Similarity GitHub Repository](https://github.com/fblgit/model-similarity).
This project is in its nascent stages, ... | {
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"href": null... | 🙋🏻♂️Hey there folks ,
i'm so impressed by the reception that https://huggingface.co/collabora/whisperspeech has recieved !
Check out the cool demo here : https://huggingface.co/spaces/collabora/WhisperSpeech
- Open issue : how do we provide MPS support ? cc. @intel :-) looking into this now , any leads welcome!... | {
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📈 1.3M examples from sources derived from OpenHermes-2.5, covering Biology, Physics, Math, CS, Instruction Following, Function Calling, and Roleplay.
🔬 Enhance natural language understandin... | {
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... | GPU Poor POV: Burnout
Sometimes we do not have an energy to post about AI and new methods.
And thats totally ok, I guess.
Remember to sleep well and drink a lot of water. Have a great day :D <3 | {
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"... | ICYMI! Nomic Embed, the first fully open long context text embedder to beat OpenAI
- Open source, open weights, open data
- Beats OpenAI text-embeding-3-small and Ada on short and long context benchmarks
- Day 1 integrations with Langchain, LlamaIndex, MongoDB, and Sentence Transformers
Check out https://huggingface.... | {
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```py
from gradio_modal import Modal
with gr.Blocks() as demo:
gr.Markdown("### Main Page")
gr.Textbox("lorem ipsum " * 1000, lines=10)
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"url... | I'm happy to announce that ✨ Image to Music v2 ✨ is ready for you to try and i hope you'll like it too ! 😌
This new version has been crafted with transparency in mind,
so you can understand the process of translating an image to a musical equivalent.
How does it works under the hood ? 🤔
First, we get a very lite... | {
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"res... | First post alert 🚨
Super excited to share with you my first Chat assistant :
`HuggingAssist`, meant to offer guidance with the large HuggingFace ecosystem
Chat with it from here : https://hf.co/chat/assistant/65bd0adc08560e58be454d86
It would be more helpful when the RAG / WEB features are available !
Looking for... | {
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Authors propose Recursive Attribution Generation (ReAGent), a perturbation-based feature attribution approach specifically conceived for generativ... | {
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It uses questions of logic, of different mathematical complexities, as a proxy for reasoning abilities. It notably removes questions relying on arithmetic, to really focus on logical abilities.
What's interesting imo is the potential to really study a model performance a... | {
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Accelerating the Science of Language Models
paper page: https://huggingface.co/papers/2402.00838
a state-of-the-art, truly Open Language Model and its framework to build and study the science of language modeling. Unlike most prior efforts that have only released model weights and inference code, we release OLM... | {
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Today we are releasing Assistants on HuggingChat!
Assistants are a fun way to package your prompts and share them with the world - powered by Open source Models of course!
Learn more about Assistants here: https://huggingface.co/spaces/huggingchat/chat-ui/discussions/357
Browse Assi... | {
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... | If you're looking for geospatial datasets, you might find what you're looking for in the Geospatial Datasets Collections:
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"href"... | GPU Poor POV: Quantization
Today I want to share with you my notebook plug and play code
which help me a lot through my quantization journey.
Hope youll find it interesting it could be a good starter point to
gguf some of your awesome models :)
Have a great day <3
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... | release day release day! OLMo 1b + 7b out today 🥳 and 65b coming soon...
With OLMo, we are really focused on advancing the study of LLMs. We release **everything**, from toolkit to create its training dataset (dolma) to training & inference code:
- OLMo paper: https://allenai.org/olmo/olmo-paper.pdf
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... | Infini-gram
Scaling Unbounded n-gram Language Models to a Trillion Tokens
demo: https://huggingface.co/spaces/liujch1998/infini-gram
paper page: https://huggingface.co/papers/2401.17377
train them at the same data scale as neural LLMs -- 1.4 trillion tokens. This is the largest n-gram model ever built. Second, exis... | {
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... | Vision LLM for #edgecomputing ?
@openbmb, who OS'ed the UltraFeedback dataset before, released a series of strong eco-friendly yet powerful LLMs
- MiniCPM: 2B model that competes with Mistral-7B
- MiniCPM-V: 3B vision LLM on edge!
- MiniCPM-V: 3B vision LLM on edge! | {
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"raw": "New Droppings🥳",
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😶🌫️Collection: https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
🥳Demo Here: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC with more than 100+ Flux LoRA's
🪨Fluid Dramatic Neon: https://huggingface.co/prithivMLmods/Castor-Dramatic-Neon-Fl... | {
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The video covers using ColPali with Binary Quantization in Qdant to accelerate retrieval. 2x speed up with no performance drop in results 🛸
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- Trained on high quality science-instruct, complex queries, and general chat data!
- Uses our newest datasets, ALL open-sourced for everyone to use!
GET SV2 70B: https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2
- Find the SV datasets here, inc... | {
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"resou... | Cybertron is back:
We released today a newest version of Cybertron: V4 based on Qwen2.5 7B and trained on MagPie. Scoring #1 LLM on 7B & 8B class.
The model hasn't go thru DPO, so the weights are in good shape to welcome further training sessions and optimizations.
Enjoy it in the hub as usual:
https://huggingface.co... | {
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Also Testing CFG Impact for Stylized Images on base FLUX DEV model
Full size grids and full details shared here : https://www.patreon.com/posts/114969137
The aim is finding a workflow that FLUX can be trained for multiple concep... | {
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"raw": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?",
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"user": nul... | ⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?
Go from 🐢 -> 🐇
If you want a small model to perform well on your problem, you need to fine-tune it.
Bootstrap with a teacher model.
Correct potential mistakes to get high-quality data.
Fine-tune your student model
Go more acc... | {
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"value":... | 🚀 Exploring Topic Modeling with BERTopic 🤖
When you come across an interesting dataset, you often wonder:
Which topics frequently appear in these documents? 🤔
What is this data really about? 📊
Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This proces... | {
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... | 🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data!
AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparen... | {
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"raw": "Happy to share H2O-Danube-1.8b, a small 1.8b model based trained on only 1T natural language tok... | Happy to share H2O-Danube-1.8b, a small 1.8b model based trained on only 1T natural language tokens showing competitive metrics across benchmarks in the <2B model space.
Base weights: https://huggingface.co/h2oai/h2o-danube-1.8b-base
Chat weights: https://huggingface.co/h2oai/h2o-danube-1.8b-chat
Technical report: htt... | {
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Models released with fully open dataset, training code, weights ✅
LLM - https://huggingface.co/collections/allenai/olmo-suite-65aeaae8fe5b6b2122b46778 🧠
Embedding - https://huggingface.co/nomic-ai/nomic-embed-text-v1 📚 (sota!)
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If someone ever asks you why you need ML monitoring, show them this picture 😂 | {
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"raw": "🔍 Today's pick in Interpretability & Analysis of LMs: Gradient-Based Language Model Red Teaming by N. Wichers, C. Denison and ",
"h... | 🔍 Today's pick in Interpretability & Analysis of LMs: Gradient-Based Language Model Red Teaming by N. Wichers, C. Denison and @beirami
This work proposes Gradient-Based Red Teaming (GBRT), a red teaming method for automatically generating diverse prompts inducing an LM to output unsafe responses.
In practice, prom... | {
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"type": "new_line"... | Let me introduce you LLE: Leaks, leaks everywhere!
A quick experiment I've carried out on around 600 datasets from the HF Hub, the results are stored in https://huggingface.co/datasets/lbourdois/LLE, and the methodology is described in
https://huggingface.co/blog/lbourdois/lle
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... | Introducing Gajendra!
An early release of our 7B Hindi-Hinglish-English Instruction fine-tuned language model.
Model: https://huggingface.co/BhabhaAI/Gajendra-v0.1
We additionally explore ways to filter examples that can be translated from English to Hindi and are releasing initial versions of both dataset and model... | {
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"res... | What is WhisperKit?
WhisperKit is a pure Swift package built by @argmaxinc that enables real-time Whisper inference on iPhone, Mac and even Apple Watch in two lines of code. It is built on Core ML and can be configured to run on the Neural Engine or GPU or both. WhisperKit models are published and distributed through ... | {
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"v... | Introducing the "UltraTextbooks" dataset 🚀📚
Check it out here: https://huggingface.co/datasets/Locutusque/UltraTextbooks
📘 A comprehensive collection of high-quality synthetic and human-written textbooks
👨🎓 Spanning various subjects and programming languages
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] | moondream1 can now be used directly from transformers! | {
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... | 📣 NEW on HF
the Dataset Viewer is now available on *private datasets* too
You need to be a PRO or a Enterprise Hub user. 🔥
Great work from our Datasets team 🥰: @lhoestq @severo @polinaeterna @asoria @albertvillanova and the whole team 🥰 | {
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"lan... | 🔥 New LLM leaderboard on the hub: an Enterprise Scenarios Leaderboard!
This work evaluates LLMs on several real world use cases (Finance documents, Legal confidentiality, Customer support, ...), which makes it grounded, and interesting for companies! 🏢
Bonus: the test set is private, so it's hard to game 🔥
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... | InstantID-2V is out ! ✨
It's like InstantID, but you get a video instead. Nothing crazy here, it's simply a shortcut between two demos.
Let's see how it does work with gradio API:
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🎉 Welcome Distilabel Capybara DPO, a multi-turn, high-quality preference dataset.
https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized
Why?
Best ... | {
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Before we begin: Depth Anything is recently integrated to 🤗 transformers and you can use it with three lines of code! ✨
```python
from transformers import pipeline
pipe = pipeline(task="depth-estimation", model="LiheYoung/depth-a... | {
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856965186375780 | [
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"href... | TIL: https://huggingface.co/datasets/EleutherAI/pile is on Wikipedia: https://en.wikipedia.org/wiki/The_Pile_(dataset) | {
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"value": "🔍 Today's pick in Interpretability & Analysis of LMs: In-Context Language Learning: Architectures and Algorithms by E. Akyürek, B. Wang, Y. Kim, J. Andreas",
"raw": "🔍 Today's pick in Interpretability & Analysis of LMs: In-Context Language Learning: Architectures and Algori... | 🔍 Today's pick in Interpretability & Analysis of LMs: In-Context Language Learning: Architectures and Algorithms by E. Akyürek, B. Wang, Y. Kim, J. Andreas
This work methodically evaluates of in-context learning on formal languages across several model architectures, showing that Transformers outperform all other r... | {
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... | Pretty novel idea on how to estimate *semantic* uncertainty. 🤔
Text generation tasks are challenging because a sentence can be written in multiple ways but still preserve its meaning.
For instance, "France's capital is Paris" means the same as "Paris is France's capital." 🇫🇷
In uncertainty quantification, w... | {
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"raw": "The next version of Gradio will be significantly more efficient (as well as a bit faster) fo... | The next version of Gradio will be significantly more efficient (as well as a bit faster) for anyone who uses Gradio's streaming features. Looking at you chatbot developers @oobabooga @pseudotensor :)
The major change that we're making is that when you stream data, Gradio used to send the entire payload at each tok... | {
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