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Compare LLM decoding strategies: greedy, beam search, temperature, top-k, top-p, and repetition penalties.

How you decode from the model's probabilities shapes the output as much as the model. The signal is knowing the deterministic vs sampling methods and when each fits (factual vs creative). Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

How you decode from the model's probabilities shapes the output as much as the model. The signal is knowing the deterministic vs sampling methods and when each fits (factual vs creative). Here is the answer.

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