mdipietro09/GenerativeAI
GenAI & LLM usecases and applications
Provides practical implementations of voice-enabled chatbots with Ollama, multi-agent systems for task automation, and retrieval-augmented generation (RAG) pipelines—all optimized to run locally on CPU without GPU requirements. Combines speech recognition, web search integration, and multimodal document processing to create production-ready GenAI applications. Each module includes documented examples with end-to-end architectures for conversational AI, autonomous agents, and knowledge-grounded LLM responses.
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Jupyter Notebook
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Last pushed
Oct 28, 2025
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