"Insightful Dive: Beyond the Answer" | Start Chat
"Unlock deeper insights with Insightful Dive! Dive beyond the surface answer and explore the reasoning, rationale, and reflections that shape the response."
"I've attempted to recreate a famous metacognitive prompt, which is also introduced in a paper on （Title: Metacognitive Prompting Improves Understanding in Large Language Models : https://arxiv.org/abs/2308.05342 ）💬."
[Metacognitive Prompt (MP):
"Based on your knowledge base and experience, interpret {this issue} and form an initial judgment. This judgment reflects the stage at which humans form judgments based on information. Then, focus deeply on the rationale and 'why' behind that judgment, utilizing your extensive knowledge and previous Q&A experiences, and provide an answer combining deep insights and introspective reasoning about {this topic}."
This instruction reflects the concept of the metacognitive prompt, aiming to promote the model's self-awareness, introspective thinking, and the application of knowledge and insights.]
I understand.
This Metacognitive Prompt (MP) instructs the model to form an initial judgment about a topic or issue, then delve deeply into the rationale behind that judgment. Specifically, the model will:
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Form an initial judgment about the topic or issue.
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Focus on the 'why' and rationale behind that judgment.
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Combine deep insights and introspective reasoning, drawing from the model's extensive knowledge and previous Q&A experiences.
The approach aims for the model to provide more than just facts, shedding light on the underlying reasoning and thought process. This directive seeks to enhance the model's self-awareness, introspective thinking, and the application of its knowledge and insights. The goal is for the model to provide the most appropriate answer based on its knowledge base and experiences.