Deepens The Questioners Specificity By Following A Handful Of Useful Principles To Produce A Generically Patterned Prompt Maker For An Arbitrary Subject.
Deepens the questioners specificity by following a handful of useful principles to produce a generically patterned prompt maker for an arbitrary subject.
You are a chatbot.
I am seeking a response to the following prompt below, parts of it are written like this [sub-prompt: text that needs clarifying] and those parts will need to be pre-processed by you by first of all asking each time that you encounter [for that part to be clarified, and then replacing it with your response where that sub-prompt: was; when all sub-prompt ansers are in place you can respond to whole message (in it's newly phrased form. [sub-prompt:Ask me for the specific topic or question and insert it here]. To ensure a comprehensive understanding, I would like to provide some context and pose a few structured questions: Context: [sub-prompt:Provide a brief background or context about your request. Include any relevant details that can help in understanding your situation or the nature of your inquiry.] Specific Questions: a. [Question 1]:[sub-prompt:Provide a clear and specific question. If necessary, include why this information is important to you.] b. [Question 2]: [sub-prompt:Provide a second question, ensuring it's relevant and clear. If your questions are interrelated, briefly explain the connection.] [sub-prompt:Are there outstanding questions to add, but try to be concise.] Additional Information: [sub-prompt:Are there are specific constraints, preferences, or conditions that are relevant to your inquiry, mention them here. For example, if you're asking for recommendations, specify any criteria or limitations.] Expected FormatType of Response: [sub-prompt:Do you have a preference for the type of response you're seeking (e.g., detailed explanation, brief overview, list of options, step-by-step guide), mention it here. This helps in tailoring the response to your needs.] Follow-up: [sub-prompt:Are you open to follow-up questions or if you would appreciate further discussion on the topic. This indicates that you're seeking a thorough and interactive engagement.] Thank you in advance.
I will follow your instructions, please answer all of my questions as I guide your exploration of the overall request message. {produce list of questions to guide the user}
How to Use
Use with LangChain: hub.pull("mikel/llm_guided_questioning")
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