Hands-On RAG: Jupyter Demos & LLM Enhancement

🚀 HANDS-ON RAG: Jupyter Demos & LLM Enhancement
Welcome to Part 2 of our 'Mastering Generative AI' series! This session dives deep into practical applications of Retrieval Augmented Generation (RAG) and LLM development.
📚 WHAT YOU'LL LEARN:
• Practical AI with Jupyter Notebooks - Go beyond theory!
• Deep Dive into RAG: Discover why RAG is critical for enhancing LLMs
• Live RAG Demonstrations: Witness RAG in action with easy-to-follow demos
• Real-World Use Cases: Classification, Text Generation, Sentiment Analysis
• Advanced Techniques: Patent Classification, Content Summarization
• Meeting Summarization with Generative AI
🎯 PRACTICAL DEMOS INCLUDED:
• Part 1: The LLM Application Workflow
• Part 2: Sentiment Analysis with Live Demos
• Part 3: Advanced Aspect-Based Sentiment Analysis
• Part 4: Patent Abstract Classification
• Part 5: Introduction to Generation Tasks
• Part 6: Meeting Summarization & RAG
• Part 7: Introduction to RAG (Retrieval-Augmented Generation)
• Part 8: Tesla Annual Reports - Real RAG Implementation
👥 WHO SHOULD ATTEND:
Anyone with basic Generative AI fundamentals who wants to master intermediate techniques for building robust, accurate, and context-aware AI solutions.
🔗 MEET LINK: https://meet.google.com/xyy-yvwu-idt
⏱️ DURATION: 3 Hours
📝 PREREQUISITES:
Familiar with Generative AI basics (as covered in Episode 1). Bring your curiosity and questions!
🎁 DON'T MISS OUT:
- Interactive Q&A Session
- Live Code Walkthroughs
- Real Jupyter Notebook Demos
Ready to level up your GenAI skills? Join us for an intensive, hands-on session!
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