AI Examples

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This repository offers a curated collection of practical AI and LLM examples built with Keras, LangChain, OpenAI, Azure OpenAI, and LangGraph. It serves as a personal learning journey, demonstrating how to construct intelligent agents, integrate custom tools, work with APIs, and run local models like Mistral using Ollama. Each project within aims to provide hands-on experience, fostering a deeper understanding of core AI building blocks, from neural networks to multi-agent systems, by writing real code and experimenting with modern AI technologies.

Características Principales

• Showcases various LangChain and LangGraph agent examples, including RAG and multi-agent systems
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• Illustrates running local LLMs using Ollama
• Demonstrates CNN, RNN, and Transformer (Tiny GPT) model implementations
• Provides examples of Agent-to-Agent (A2A) communication protocols
• Includes a FastAPI-based weather API as an MCP server example

Casos de Uso

• Learning and experimenting with AI, LLM, and agent-based development
• Understanding practical applications of Keras, LangChain, LangGraph, and Ollama
• Building and testing intelligent agents and multi-agent systems architectures