Shypd.aiThe largest open index of AI toolsLlamaGym is an AI Frameworks & Infra tool that simplifies fine-tuning LLM agents with online reinforcement learning. It provides an abstract Agent class to handle conversation context, reward assignment, and PPO setup.
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LlamaGym is an open-source framework designed to simplify the fine-tuning of Large Language Model (LLM) agents using online reinforcement learning. Unlike many current LLM-based agents that do not learn continuously in real-time, LlamaGym enables agents to interact with an environment and receive immediate reward signals for ongoing learning. It addresses common challenges such as managing LLM conversation context, handling episode batches, assigning rewards, and setting up Proximal Policy Optimization (PPO). By providing a single abstract Agent class, LlamaGym allows developers to quickly iterate and experiment with agent prompting and hyperparameters across various Gym environments, making the process of integrating LLMs with RL more accessible. While currently a work in progress, it aims to streamline the development of adaptive LLM agents.
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