// About this playbook

GenAI Foundations Navigator

A guided tour of the vocabulary everything else assumes: grounding, retrieval components, prompt structure, core parameters, and the point at which fine-tuning starts to make sense.

It covers grounding and hallucination, the parts of a RAG pipeline, prompt structure, temperature and top-p, and the threshold where fine-tuning starts to pay for itself. It is written for anyone who keeps nodding along in GenAI conversations and would rather actually follow them.

Every branch states the trade-off that decided it, so the recommendation you end on comes with the reasoning attached — something you can paste into a design note or defend in a review.

Decision tool GenAI basics 10–15 min Beginner Build with LLMs

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Who made this

Built by Tarek Atwan — twenty years in data and AI, four books, four-time Pluralsight Elite instructor, Fortune 500 engagements across eight countries. Consulting through Ensemble Methods. Source on GitHub.