We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Clémentine Fourier of HuggingFace on why you should stop using LLMs as Judges, what comes after MMLU, how prompts formatting sways benchmark results, and why leaderboards are GPU poor| www.latent.space
Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the...| ai.meta.com
1 longform interview, 12 more papers and 3 talks from ICLR 2024, covering Coding Agents like OpenDevin, the Science of Benchmarks, Reasoning and Post-Training, and Agent Systems!| www.latent.space
At Character.AI, we're building toward AGI. In that future state, large language models (LLMs) will enhance daily life, providing business productivity and entertainment and helping people with everything from education to coaching, support, brainstorming, creative writing and more. To make that a reality globally, it's critical to achieve highly| Character.AI Research Blog
A Comprehensive Overview of Prompt Engineering| www.promptingguide.ai
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to...| ai.meta.com
Listen now | The PyTorch creator riffs on geohot's Tinygrad, Chris Lattner's Mojo, Apple's MLX, the PyTorch Mafia, the upcoming Llama 3 and MTIA ASIC, AI robotics, and what it takes for open source AI to win!| www.latent.space
Back to foundations! The origins of RLHF, sociology's influence on it, the tension between human vs synthetic data, and emerging research in the field| www.latent.space