The Model Under the Product
Trace the path from training data and token prediction to chat interfaces, hallucinations, and mitigation choices. This chapter gives product decisions a technical reason instead of a trend-driven guess.
THE QUESTION THIS PAGE ANSWERS
ANSWER FIRSTWhat will the “The Model Under the Product” AI learning path help you do?
Trace the path from training data and token prediction to chat interfaces, hallucinations, and mitigation choices. This chapter gives product decisions a technical reason instead of a trend-driven guess. The path contains 19 free notes, each centered on one question you can understand and test.
Core themes include Core Principles, From Completion to Chat, Hallucinations & Four Mitigations, Part Recap.
Begin with “AI's Food: Training Data,” then choose the next note by the task in front of you.
Do not optimize for finishing the list. Explaining one trade-off with your own example matters more than opening more titles.
What this route helps you practice
Open the first note
Each chapter follows a class of real decisions. Follow the sequence, or enter at the problem you are solving today.