1Cademy - A text generation model is creating a sequence of words. It uses a search process that keeps track of the 2 most probable sequences at each step. The score for a sequence is the sum of the log-probabilities of its words. Given the state of the search below, which two sequences will be kept for the next step? **Step 1:** The initial two sequences being tracked are: * Sequence 1: The (Score: -0.5) * Sequence 2: A (Score: -0.9) **Step 2:** The model calculates the log-probabilities for th

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Beam Search Strategy in Sequence-to-Sequence Models

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A text generation model is creating a sequence of words. It uses a search process that keeps track of the 2 most probable sequences at each step. The score for a sequence is the sum of the log-probabilities of its words. Given the state of the search below, which two sequences will be kept for the next step?

Step 1: The initial two sequences being tracked are:

Sequence 1: "The" (Score: -0.5)
Sequence 2: "A" (Score: -0.9)

Step 2: The model calculates the log-probabilities for th

Updated 2025-09-26

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