AI Examples
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Provides a curated collection of practical AI and LLM examples using various frameworks and tools.
About
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.
Key Features
- 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
Use Cases
- 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
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