Q*: A Versatile Artificial Intelligence AI Approach to Improve LLM Performance in Reasoning Tasks

Large Language Models (LLMs) have demonstrated remarkable abilities in tackling various reasoning tasks expressed in natural language, including math word problems, code generation, and planning. However, as the complexity of reasoning tasks increases, even the most advanced LLMs struggle with errors, hallucinations, and inconsistencies due to their auto-regressive nature. This challenge is particularly evident in […]

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