Enhancing Idea Exploration in Large Language Models: An overview of the Algorithm of Thoughts Approach

Large language models have shown promise in a number of different application areas, including general problem solving, code generation, and instruction comprehension. As opposed to the earlier models' reliance on direct answer strategies, the current body of work favors linear reasoning approaches by decomposing problems into sub-tasks or using

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