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This repository accompanies a Korean-language book on practical LLM application development, containing hands-on code examples organized by chapter. It demonstrates the full LLM lifecycle including foundational concepts (transformers), model optimization (quantization, PEFT), application building (RAG, agents, multimodal systems), and deployment techniques. The primary value lies in its educational notebooks that show how to implement LLM-powered solutions for tasks like Text2SQL, retrieval-augmented generation, and AI agents using frameworks such as LlamaIndex, AutoGen, and vLLM. While designed for Google Colab execution, the code illustrates reusable patterns for LLM engineering.
RATING:
REPRO: 5.0/10
MAINT: active
DRIFT: medium
▸ 3 reusable components found
── end of results ──