📚 Module 2 Recap: Building Custom AI Chatbots (Post Homework Here)
📚 Module 2 Recap: Building Custom AI Chatbots Great session today, everyone! 🎉 What We Covered: - The evolution from rules-based to AI-powered chatbots - Core concepts: RAG (Retrieval Augmented Generation), temperature settings, and citations - The 3 requirements for HR chatbots: accuracy, consistency, and transparency - Live demo building a chatbot with Google's Notebook LM Key Takeaway: You now know how to build a functional HR chatbot in about 15 minutes using the 10-80-10 approach—where AI handles the heavy lifting, but YOU provide the critical first and last 10%. 📝 Homework Assignment: Build your own HR chatbot using Notebook LM! 1. Sign up for a free Google account (if needed) 2. Go to notebooklm.google.com 3. Upload the sample HR documents (available in Classroom) 4. Test it with various questions 5. Add custom instructions to make it yours 6. Share your chatbot link for your portfolio All resources—recording, slides, sample documents, and the getting started guide—are in the Classroom under Module 2. ⏰ Office Hours: Friday at 12 PM ET (same link) if you have questions! Next Session: Thursday—we'll explore other AI builders and Custom GPTs Let's build! 🚀