safe-rlhf VS alignment-handbook

Compare safe-rlhf vs alignment-handbook and see what are their differences.

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safe-rlhf alignment-handbook
1 3
1,160 3,844
4.5% 6.9%
8.1 8.6
20 days ago 9 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

safe-rlhf

Posts with mentions or reviews of safe-rlhf. We have used some of these posts to build our list of alternatives and similar projects.

alignment-handbook

Posts with mentions or reviews of alignment-handbook. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing safe-rlhf and alignment-handbook you can also consider the following projects:

LLMSurvey - The official GitHub page for the survey paper "A Survey of Large Language Models".

opening-up-chatgpt.github.io - Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

CodeCapybara - Open-source Self-Instruction Tuning Code LLM

WebGLM - WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

AtomGPT - 中英文预训练大模型,目标与ChatGPT的水平一致

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

Cornucopia-LLaMA-Fin-Chinese - 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型,并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)

ray-llm - RayLLM - LLMs on Ray

h2o-wizardlm - Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning

peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.