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An AI that makes things up with confidence is worse than one that admits it doesn't know. This session is about grounding AI in your real documents so you can trace its answers back to source material. We'll look at how RAG helps an assistant find relevant information & why clean, well-organized documents work better than a messy PDF.
You'll build a no-code assistant using real documents & test whether its answers stay tied to what you gave it.
No coding background needed. This is about literacy & judgment, not development mechanics.
Part of the AI Architect Fellowship, a free program from 3percentclub for underrepresented builders in NYC.
Joining virtually? Live stream: https://us06web.zoom.us/j/83454908023
Applying to the fellowship gets you:
Access to our Google Classroom for labs & coursework
Mentorship from working AI practitioners
Resume workshops
Our Discord community
A shot at the October hackathon & Demo Night
Sign up: https://forms.fillout.com/t/p52mmdNs8jus
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