llm4regression VS safe-rlhf

Compare llm4regression vs safe-rlhf and see what are their differences.

llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update (by robertvacareanu)
linear-regression llm llm-benchmarking llm-inference llms Regression regression-models Sklearn large-language-models
Source Code
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safe-rlhf

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback (by PKU-Alignment)
ai-safety alpaca Datasets deepspeed large-language-models llama llm llms reinforcement-learning reinforcement-learning-from-human-feedback rlhf Transformers vicuna safe-rlhf safe-reinforcement-learning safe-reinforcement-learning-from-human-feedback Safety
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pku-beaver.github.io
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llm4regression safe-rlhf
3 1
95 1,169
- 5.2%
8.6 8.1
about 1 month ago about 1 month ago
Python Python
- Apache License 2.0
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llm4regression

Posts with mentions or reviews of llm4regression. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-13.

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.

What are some alternatives?

When comparing llm4regression and safe-rlhf you can also consider the following projects:

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

CodeCapybara - Open-source Self-Instruction Tuning Code LLM

AtomGPT - 中英文预训练大模型，目标与ChatGPT的水平一致

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.

ray-llm - RayLLM - LLMs on Ray

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

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)

xllm - 🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

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

trex - Enforce structured output from LLMs 100% of the time

alignment-handbook - Robust recipes to align language models with human and AI preferences

CodeCapypara - [Moved to: https://github.com/FSoft-AI4Code/CodeCapybara]

safe-rlhf vs LLMSurvey safe-rlhf vs CodeCapybara safe-rlhf vs AtomGPT safe-rlhf vs opening-up-chatgpt.github.io safe-rlhf vs ray-llm safe-rlhf vs h2o-wizardlm safe-rlhf vs Cornucopia-LLaMA-Fin-Chinese safe-rlhf vs xllm safe-rlhf vs WebGLM safe-rlhf vs trex safe-rlhf vs alignment-handbook safe-rlhf vs CodeCapypara