yihedeng9/rlhf-summary-notes
A brief and partial summary of RLHF algorithms.
This collection offers concise study notes and literature references on Reinforcement Learning from Human Feedback (RLHF) and Large Language Model reasoning. It compiles information from academic papers and blogs, providing brief summaries and personal annotations. Machine learning researchers, students, and practitioners exploring advanced AI model training and capabilities would find this useful.
147 stars. No commits in the last 6 months.
Use this if you are studying or researching RLHF algorithms and LLM reasoning and need a curated, indexed collection of summarized papers and conceptual overviews.
Not ideal if you are looking for executable code, a software library, or an interactive tool for practical application rather than study notes and summaries.
Stars
147
Forks
3
Language
—
License
—
Category
Last pushed
Mar 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/yihedeng9/rlhf-summary-notes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
agentscope-ai/Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement...
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO &...
zjunlp/EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
hyunwoongko/nanoRLHF
nanoRLHF: from-scratch journey into how LLMs and RLHF really work.