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LlamaGym
LlamaGym
Tool for fine-tuning LLM agents using reinforcement learning
Open Source

(5.0) 0 reviews

Open Source
About LlamaGym

LlamaGym is an innovative tool designed to simplify the process of fine-tuning large language model (LLM) agents through reinforcement learning. It provides a standardized environment for LLM agents, similar to how OpenArtificial Intelligence’s Gym standardized reinforcement learning environments. The platform allows users to easily experiment with and iterate on agent prompts and hyperparameters.

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Key Features
AGENT ABSTRACTION CLASS
REINFORCEMENT LEARNING LOOP
HYPERPARAMETER TUNING
MULTI-ENVIRONMENT SUPPORT
EASY EXPERIMENTATION
OPENAI GYM COMPATIBILITY
SIMPLIFIED RL IMPLEMENTATION
Use Case
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Integration Methods
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REST API
Standard integration using REST APIs for direct access to data.
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Python SDK
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Docker Container
Containerized integration with Docker for scalable deployment.
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Command Line Tool
CLI integration for terminal-based AI interactions.
API
API
Facilitate smooth data exchange and functionality via APIs.
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