Updated 11 months ago

mlora-cli • Rank 11.3 • Science 64%

An Efficient "Factory" to Build Multiple LoRA Adapters

Updated 11 months ago

alignment-handbook • Rank 16.9 • Science 54%

Robust recipes to align language models with human and AI preferences

Updated 11 months ago

distilabel • Rank 11.6 • Science 54%

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Updated 11 months ago

chinese-llama-alpaca-2 • Rank 11.0 • Science 54%

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Updated 11 months ago

py-alpaca-eval • Rank 12.6 • Science 46%

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Updated 10 months ago

https://github.com/astorfi/llm-alignment-project • Rank 3.5 • Science 23%

A comprehensive template for aligning large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF), transfer learning, and more. Build your own customizable LLM alignment solution with ease.

Updated 11 months ago

cogment-verse • Science 44%

Research platform for Human-in-the-loop learning (HILL) & Multi-Agent Reinforcement Learning (MARL)

Updated 11 months ago

awesome-rlaif • Science 54%

A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)

Updated 11 months ago

llm-reliability • Science 49%

Code for the paper "Larger and more instructable language models become less reliable"

Updated 10 months ago

https://github.com/cyberagentailab/annotation-efficient-po • Science 23%

Code of "Annotation-Efficient Preference Optimization for Language Model Alignment"

Updated 10 months ago

https://github.com/cyberagentailab/filtered-dpo • Science 23%

Introducing Filtered Direct Preference Optimization (fDPO) that enhances language model alignment with human preferences by discarding lower-quality samples compared to those generated by the learning model