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by sumitdotgh • Uncategorized
A curated collection of practical AI and LLM examples demonstrating intelligent agents, custom tools, API integrations, and local model usage.
Perform image classification and sequence prediction using neural networks.
Integrate with APIs and run local large language models.
Implement multi-agent systems and advanced agent communication protocols.
This repository provides a variety of AI and large language model examples using frameworks like Keras, LangChain, OpenAI, Azure OpenAI, and LangGraph. It includes projects ranging from basic CNN and RNN models to advanced agent architectures and local LLM deployment with Ollama. The collection is designed to help users learn by doing, offering hands-on experience with AI concepts and modern software systems.