Simplify fine-tuning LLM agents with reinforcement learning using Gym-style environments.

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About LlamaGym

LlamaGym is a framework designed to enable fine-tuning of LLM-based agents with reinforcement learning in Gym-style environments. It provides an abstract Agent class that handles tasks like managing conversation context, episode batching, reward assignments, and policy optimization setups. Developers can quickly implement methods to define prompts, observations, and actions, streamlining experimentation with agent hyperparameters and prompting. It supports integration with any Gym environment, enabling continuous agent training through intuitive APIs.

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KhoomeiK
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516 days ago

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