AgileRL
от AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Из README
The complete post-training stack for LLMs + RL for any problem Visit our website . View documentation . Join the Discord Server for questions, help and collaboration. 🚀 Train and deploy at scale with Arena from AgileRL 🚀 AgileRL takes an open-weights LLM from supervised fine-tuning through preference tuning to multi-turn agentic RL, in one library. The same library covers classic deep RL (single-agent, multi-agent, offline and bandits) with evolutionary hyperparameter optimization built in. Table of Contents LLM Post-Training Get Started Train at Scale on Arena Train an LLM Locally Classic…
Фрагмент README проекта на GitHub.
Навыки
Open-source проект — изучите код и разверните его у себя с GitHub.