A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.
How to effectively finetune CV/LLM models (without local gpu)
The Self-Learning AI Framework is an autonomous system that analyzes, modifies, and optimizes its own code. It supports natural language interaction, framework creation, code suggestions, PDF-based learning, and package management. Ideal for automating code reviews, agent creation, and AI-driven development.
This project implements an AI that teaches itself to play the game of Nim using Q-learning, a form of reinforcement learning. By playing games against itself, the AI learns optimal strategies for playing Nim, eventually improving its performance by updating a reward table based on game outcomes.
LLM Powered, Autonomous, Self-Learning, Self-Improving, Research System
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