tylerelyt/LLM-Workshop
🌟 Learn Large Language Model development through hands-on projects and real-world implementations
Covers seven structured chapters spanning conversational AI, reasoning strategies, RAG with vector databases and knowledge graphs, multimodal processing (vision-language models), multi-agent coordination using AutoGen and ReAct patterns, and fine-tuning data construction pipelines. Each module combines theoretical foundations with practical implementation, using production-ready tools like BGE embeddings, Pyvis graph visualization, and frameworks for prompt optimization and KV-cache management.
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88
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29
Language
Python
License
MIT
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Last pushed
Nov 20, 2025
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