Beam search is a search algorithm that explores a graph by expanding the most promising nodes while limiting the number of nodes it considers at each level of the search. It is commonly used in various applications such as natural language processing, machine translation, and AI-based game playing. Here are the key characteristics of beam search: 1. **Search Space**: Beam search operates in a search space, typically represented as a tree where each node corresponds to a partial solution or a step in the solution process.
New to topics? Read the docs here!