peremartra/Large-Language-Model-Notebooks-Course

Covers end-to-end LLM application development through three progressive sections: foundational techniques (prompt engineering, vector databases, LoRA/QLoRA fine-tuning, knowledge distillation) using OpenAI and Hugging Face APIs; practical multi-implementation projects with LLMOps considerations; and enterprise-scale architectures for organizational transformation. Jupyter notebooks paired with detailed Medium articles enable hands-on exploration of chatbots, NL-to-SQL translation, and model optimization, with deployable examples using Panel and Gradio interfaces.

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