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Retrieved on: 2024-05-25 09:26:19
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Summary
The article details how Chain-of-Thought (CoT) prompting enhances the reasoning capabilities of large language models (LLMs) by breaking down complex tasks into intermediate steps, improving performance in areas like arithmetic, commonsense, and symbolic reasoning. This aligns with the key concept 'Large Language Models LLM' and tags focused on artificial intelligence, deep learning, and natural language processing.
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