• Beam Search:
时间: 2024-01-12 11:04:24 浏览: 31
Beam search is a search algorithm used to find the best solution from a set of possible solutions. It is typically used in natural language processing and machine translation tasks, where the goal is to find the most likely sequence of words or phrases that match a given input.
The algorithm works by maintaining a list, or "beam," of the most promising candidate solutions at each step of the search. At each step, the algorithm generates a set of possible next states or solutions, evaluates them based on a scoring function, and selects the top candidates to add to the beam.
The beam size is a parameter that determines how many candidate solutions are kept at each step. A larger beam size can lead to better solutions, but also increases the computational complexity of the algorithm.
Beam search is often used in combination with other techniques, such as pruning, to further improve efficiency and accuracy.
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