Explain Top-k and Top-p Decoding

Quick Overview

This question evaluates understanding of autoregressive decoding strategies in probabilistic language models, assessing competency in reasoning about sampling-based token selection, probability distribution behavior, and trade-offs between diversity and likelihood.

Explain Top-k and Top-p Decoding

Company: Cohere

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates understanding of autoregressive decoding strategies in probabilistic language models, assessing competency in reasoning about sampling-based token selection, probability distribution behavior, and trade-offs between diversity and likelihood.

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Cohere
May 23, 2026, 12:00 AM
mediumMachine Learning EngineerOnsiteMachine Learning
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