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How do you implement beam search for text generation?
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Answer Posted / Padmabahadur Yadav
Beam search can be implemented for text generation by maintaining a set of the top n hypotheses at each step and extending them using the next word predicted by the model. The hypotheses are scored based on their probability, and the highest-scoring hypothesis is selected as the final output. Beam search helps the model generate more diverse and fluent outputs than greedy search.
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