What is tree of thought prompting?

Tree of thought prompting is a new technique that enhances large language models' problem-solving abilities. It works by breaking down complex tasks into multiple steps and exploring different solution paths simultaneously. This approach mimics human reasoning, allowing LLMs to evaluate options, prune less promising paths, and iterate to find optimal solutions. The method is particularly effective for tasks requiring deep reasoning or multi-step planning, but it comes with increased computational demands and setup complexity.