LlamaGym
github.com
Tool for fine-tuning LLM agents using reinforcement learning
Description
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 OpenAI's Gym standardized reinforcement learning environments. The platform allows users to easily experiment with and iterate on agent prompts and hyperparameters.
Features
AGENT ABSTRACTION CLASS
REINFORCEMENT LEARNING LOOP
HYPERPARAMETER TUNING
MULTI-ENVIRONMENT SUPPORT
EASY EXPERIMENTATION
OPENAI GYM COMPATIBILITY
SIMPLIFIED RL IMPLEMENTATION
Use cases
LLM AGENT FINE-TUNING
REINFORCEMENT LEARNING RESEARCH
AI MODEL OPTIMIZATION
CHATBOT ENHANCEMENT
CUSTOM AI AGENT DEVELOPMENT
Specs
| Type | Agent |
| Section | Agent frameworks |
| Pricing | free |
| Platform | Command line |
| Systems | cli, web |
| Site language | en |
| GitHub | khoomeik/llamagym |
| Rating | 0.00 (0 reviews) |
| Views | 260 |
| Launched | 2024-09-04 |
