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PMInterviewKit
In this module9 lessons
  1. What AI product rounds testFree
  2. How large language models work, for PMs
  3. Designing an AI feature
  4. Evals and quality
  5. Metrics for AI products
  6. Risk, safety and trust
  7. Cost and latency trade-offs
  8. Worked answers
  9. Common traps and how to recover

How large language models work, for PMs

Explain tokens, context windows, temperature, hallucination, retrieval, fine-tuning and agents plainly, and tie each to a product decision.

7 min readFull kit

You do not need to know how to train a model to do well in an AI product round. You do need a working picture of what a large language model (LLM) is, what it is not, and how each technical idea turns into a product decision. This lesson gives you that picture in plain words.

The test for every section: could you explain it to a curious executive in two sentences, then say what it means for the product?

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