Tags: #ai-research

A comprehensive open-source library providing AI agents with the skills to autonomously conduct the entire AI research lifecycle, from ideation to paper writing.

An open-source platform designed for AI researchers to unify fragmented ML tooling, enabling seamless training, evaluation, and scaling of models from local hardware to GPU clusters.

A comprehensive collection of PyTorch implementations for over 60 deep learning papers, featuring side-by-side annotated notes for enhanced understanding.

LongLoRA is an efficient fine-tuning method and associated models/datasets designed to extend the context window of Large Language Models (LLMs) for processing longer inputs.

A comprehensive collection of recipes and code for training various reward models crucial for Reinforcement Learning from Human Feedback (RLHF) in large language models.

A comprehensive, hand-curated collection of resources for Prompt Engineering and Context Engineering, specifically for Large Language Models.

A research initiative by Alibaba's Tongyi Lab, focusing on developing advanced AI systems capable of reading, thinking, and creating, with an initial emphasis on sophisticated OCR and document understanding technologies.