Getting LLMs to Reflect: The Power of Simulating Meta-Cognition
This prompt should be sent as part of a chain, with the input from the previous LLM response being fed into this reflective prompt.
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Breaking large complex prompts into a series of sequential prompts with the output of the first prompt serving as the input to the second (and so on..) is one of the most powerful ways of getting the most out of LLMs.