LlamaGym
github.com
Tool for fine-tuning LLM agents using reinforcement learning
Описание
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.
Возможности
AGENT ABSTRACTION CLASS
REINFORCEMENT LEARNING LOOP
HYPERPARAMETER TUNING
MULTI-ENVIRONMENT SUPPORT
EASY EXPERIMENTATION
OPENAI GYM COMPATIBILITY
SIMPLIFIED RL IMPLEMENTATION
Сценарии использования
LLM AGENT FINE-TUNING
REINFORCEMENT LEARNING RESEARCH
AI MODEL OPTIMIZATION
CHATBOT ENHANCEMENT
CUSTOM AI AGENT DEVELOPMENT
Характеристики
| Тип | Агент |
| Категория | Фреймворки для агентов |
| Цена | бесплатно |
| Платформа | Командная строка |
| Системы | cli, web |
| Язык сайта | en |
| GitHub | khoomeik/llamagym |
| Рейтинг | 0.00 (0 отзывов) |
| Просмотры | 260 |
| Запуск | 2024-09-04 |
