Unverified50% confidenceFactExact time
Greedy decoding means directly selecting the highest-probability token at each step, without any random sampling, so the output is fully deterministic and the same input always yields the same output.
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Long-term
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10/14/2026
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Related Claims
UnverifiedOnce the solver takes over and produces a deterministic conclusion, the same input always yields the same output, with no probabilistic fabrication.77% similarUnverifiedDeterministic inference refers to controlling random factors so that the model always produces completely consistent output for the same input.73% similarUnverifiedIn a single one-step denoising step, the model directly reads out the probability distribution for each answer slot rather than sampling token by token.72% similarUnverifiedCode cells yield the same result every time they are executed under a fixed random seed, whereas a pure 'prompt → result' approach introduces the non-determinism of large models.68% similarUnverifiedDecoding strategy refers to how a model selects output from a probability distribution when generating each token; common strategies include greedy decoding, beam search, temperature sampling, top-k sampling and nucleus sampling, among others.67% similar
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