Harnessing the Power of Generative AI for Intelligent Applications
summary
Claims concrete: 90% of enterprise data is unstructured, ChatGPT hits 1M users in 5 days. Explains actual stack: RAG with embeddings and a vector DB plus LLMs (GPT‑4, Llama) and shows a working demo—PDFs (resume) chunked into embeddings, retrieval returns relevant chunks, functions for history and prompting improve answers. Notes a 3–6 month training period, preprocessing pitfalls, and where monitoring, feedback and governance fit.
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chapters (8)
- 0:00Introduction and Agenda
- 0:14History and Evolution of AI
- 3:12AI Revolution and Unstructured Data
- 4:07Understanding Generative AI
- 7:01Tech Stack for AI Chatbots
- 9:09Building a Chatbot: A Step-by-Step Guide
- 12:17Future of AI and Chatbots
- 13:56Conclusion and Final Thoughts
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