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notebooks covering key AI/ML topics: GANs, multimodal AI, LangChain, LangGraph, RAG, CrewAI, and more.\n\n## Topics\n\n| Folder | Topic | Description |\n|--------|-------|-------------|\n| `gan-mnist` | GANs | Generative Adversarial Network trained on MNIST dataset |\n| `image-captioning-gemini` | Multimodal | Image captioning model using Google Gemini Pro |\n| `multimodal` | Multimodal AI | Working with text, images, audio, and chat conversations using Gemini |\n| `langchain` | LangChain | LLM apps, RAG, chatbots, SQL agents, semantic search |\n| `rag-with-pdfs` | RAG | Retrieval-Augmented Generation over PDF documents, building RAG pipelines |\n| `sql-rag` | SQL RAG | Natural language to SQL query generation |\n| `langgraph-and-agents` | LangGraph | Agent workflows, parallelization, routing, web scraping |\n| `gemini-basics` | Gemini | Getting started with Google Gemini — first script, image-to-text |\n| `prompt-engineering` | Prompt Engineering | Prompt techniques with Together AI 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