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An LLM predicts one token at a time, reads only what fits in its context window, and samples with a temperature setting. AllthingsPM explains all three in plain PM terms, with free course lessons and real interview questions to practise.
Do not use an LLM when the answer is already in your data (use SQL), when you have labeled examples of a fixed set of categories (train a classifier), or when a short rule gets it right (write the rule). AllthingsPM teaches this decision in a free course lesson.
Reading is the easy half.
The course grades the other half.
