The Chain of Thought Principle is a structured approach to problem-solving with large language models (LLMs) like ChatGPT and Llama 2. It involves breaking down a complex problem into smaller tasks, tackling each systematically, and compiling the solutions for a final answer. This method improves accuracy, efficiency, and resource optimization in AI interactions. The principle is applicable across various use-cases involving LLMs, from academic research to market analysis.
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