chat - beam search
Beam search is an algorithm used in many natural language processing tasks. It is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam search is an optimization of best-first search that reduces its memory requirements. It is called "beam search" because it is likened to a beam of a fixed width in the search space. X beam search
Unlike depth-first search and breadth-first search, beam search is not guaranteed to find an optimal solution, but it is more efficient in terms of memory and time complexity. It is often used in machine translation, speech recognition, and other tasks where the goal is to generate a sequence of tokens.