Every chat model decodes with top-p, but few candidates can build it from logits: softmax, sort, take the smallest set of tokens whose cumulative probability crosses p, renormalize, sample. The screen for whether you understand decoding, not just call an API.
Implement top-p (nucleus) sampling from a list of logits in pure Python.
Every chat model decodes with top-p, but few candidates can build it from logits: softmax, sort, take the smallest set of tokens whose cumulative probability crosses p, renormalize, sample. The screen for whether you understand decoding, not just call an API.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
The two real tests are numerical-stable softmax (subtract the max before exp, or large logits overflow) and the off-by-one on the cumulative cutoff: you must always keep the first token that crosses p, never an empty set. A candidate who truncates before including the crossing token can produce an empty nucleus and crash. The follow-up on top-p versus temperature versus top-k separates people who tuned these in production from people who read a blog post.
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