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Add missing files to match module structure (5 files like other modules)
- Add generative-ai-llms-advanced-topics.md: - Advanced prompt engineering (chaining, self-consistency, tree of thoughts) - Advanced RAG techniques (hybrid search, query rewriting, reranking) - Agent architectures (ReAct with memory, hierarchical, meta-agents) - Model optimization (caching, streaming, batch processing) - Evaluation and benchmarking - Cost optimization strategies - Security and safety - Scaling GenAI applications - Add generative-ai-llms-project-tutorial.md: - Step-by-step RAG system tutorial - Complete code examples from setup to deployment - Streamlit deployment example - Evaluation and troubleshooting - Add generative-ai-llms-quick-reference.md: - Quick code snippets for common tasks - Prompt engineering patterns - Vector database operations - RAG system implementation - LangChain patterns - AI agent examples - Best practices checklist - Update README.md to include links to new files - Module now has 5 files matching structure of other modules (24-audio-speech-processing, 12-natural-language-processing)
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25-generative-ai-llms/README.md

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**[Complete Detailed Guide →](generative-ai-llms.md)**
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**Additional Resources:**
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- [Advanced Topics →](generative-ai-llms-advanced-topics.md) - Advanced RAG, agent architectures, optimization
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- [Project Tutorial →](generative-ai-llms-project-tutorial.md) - Step-by-step RAG system project
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- [Quick Reference →](generative-ai-llms-quick-reference.md) - Quick lookup guide for GenAI
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- [Generative AI Comprehensive Guide](../resources/generative_ai_comprehensive_guide.md) - Complete overview with all concepts
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- [RAG Comprehensive Guide](../resources/rag_comprehensive_guide.md) - Deep dive into RAG implementation
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- [LangChain Guide](../resources/langchain_guide.md) - LangChain framework details

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