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TagAll Breaking Developing Analysis New Release Update Rumor

New release

Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge

Hugging Face Blog · 1 min read

New release

Exploring the Daily Papers Page on Hugging Face

Hugging Face Blog · 1 min read

New release

LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

Hugging Face Blog · 1 min read

New release

Announcing New Dataset Search Features

Hugging Face Blog · 1 min read

New release

CyberSecEval 2 - A Comprehensive Evaluation Framework for Cybersecurity Risks and Capabilities of Large Language Models

Hugging Face Blog · 1 min read

New release

Introducing the LiveCodeBench Leaderboard - Holistic and Contamination-Free Evaluation of Code LLMs

Hugging Face Blog · 1 min read

New release

#Exploration: A study of count-based exploration for deep reinforcement learning

OpenAI News · 1 min read

New release

On the quantitative analysis of decoder-based generative models

OpenAI News · 1 min read

New release

Concrete AI safety problems

OpenAI News · 1 min read

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News

Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge

Exploring the Daily Papers Page on Hugging Face

LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

Announcing New Dataset Search Features

CyberSecEval 2 - A Comprehensive Evaluation Framework for Cybersecurity Risks and Capabilities of Large Language Models

Introducing the LiveCodeBench Leaderboard - Holistic and Contamination-Free Evaluation of Code LLMs

2023, year of open LLMs

Welcome Mixtral - a SOTA Mixture of Experts on Hugging Face

Hugging Face Machine Learning Demos on arXiv

Announcing Evaluation on the Hub

Director of Machine Learning Insights [Part 3: Finance Edition]

BERT 101 - State Of The Art NLP Model Explained

Boosting Wav2Vec2 with n-grams in 🤗 Transformers

Language models are few-shot learners

Spinning Up in Deep RL

Large-scale study of curiosity-driven learning

Preparing for malicious uses of AI

OpenAI Baselines: ACKTR & A2C

#Exploration: A study of count-based exploration for deep reinforcement learning

On the quantitative analysis of decoder-based generative models

Concrete AI safety problems