AtomGPT VS safe-rlhf

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

AtomGPT

中英文预训练大模型，目标与ChatGPT的水平一致 (by AtomEcho)
chatgpt Deep Learning Gpt llama llm NLP Transformers Inference large-language-models Pytorch Transformer

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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 Gpt Transformer Beaver
Source Code
pku-beaver.github.io
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AtomGPT safe-rlhf
1 1
189 1,180
- 6.1%
10.0 8.1
10 months ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
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AtomGPT

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

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 AtomGPT and safe-rlhf you can also consider the following projects:

realtime-bakllava - llama.cpp with BakLLaVA model describes what does it see

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

vllm - A high-throughput and memory-efficient inference and serving engine for LLMs

CodeCapybara - Open-source Self-Instruction Tuning Code LLM

chatgpt-extractive-shortener - Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.

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.

GoLLIE - Guideline following Large Language Model for Information Extraction

ray-llm - RayLLM - LLMs on Ray

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

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

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)

AtomGPT vs realtime-bakllava safe-rlhf vs LLMSurvey AtomGPT vs vllm safe-rlhf vs CodeCapybara AtomGPT vs chatgpt-extractive-shortener safe-rlhf vs opening-up-chatgpt.github.io AtomGPT vs GoLLIE safe-rlhf vs ray-llm AtomGPT vs ray-llm safe-rlhf vs h2o-wizardlm AtomGPT vs pinferencia safe-rlhf vs Cornucopia-LLaMA-Fin-Chinese