An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
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Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
- artificial-intelligence
- attention-mechanisms
- deep-learning
- reinforcement-learning
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Align Anything: Training All-modality Model with Feedback
- large-language-models
- multimodal
- rlhf
- chameleon
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Your personal EQ coach. Build social skills and learn to handle conflict through realistic role-play and personalized feedback.
- ai-in-education
- communication-skills
- conflict-resolution
- llm