ksm26/Reinforcement-Learning-from-Human-Feedback

Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 5 / 25

Maturity 1 / 25

Community 17 / 25

Stars

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Jan 31, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/ksm26/Reinforcement-Learning-from-Human-Feedback"

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 &...

huggingface/alignment-handbook

Robust recipes to align language models with human and AI preferences

zjunlp/EasyEdit

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

PKU-Alignment/align-anything

Align Anything: Training All-modality Model with Feedback