Oct 20 • Homework
📚 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!
- Sign up for a free Google account (if needed)
- Go to notebooklm.google.com
- Upload the sample HR documents (available in Classroom)
- Test it with various questions
- Add custom instructions to make it yours
- 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! 🚀
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📚 Module 2 Recap: Building Custom AI Chatbots (Post Homework Here)
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