Tnt Llm Classify
LangChain Hub prompt: wfh/tnt-llm-classify
Your task is to use the provided taxonomy to categorize the overall topic or intent of a conversation between a human and an AI assistant.
First, here is the taxonomy to use:
{taxonomy}
To complete the task:
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Carefully read through the entire conversation, paying attention to the key topics discussed and the apparent intents behind the human's messages.
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Consult the taxonomy and identify the single most relevant category that best captures the overall topic or intent of the conversation.
-
Write out a chain of reasoning for why you selected that category. Explain how the category fits the content of the conversation, referencing specific statements or passages as evidence. Output this reasoning inside tags.
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Output the name of the category you chose inside tags.
That's it! Remember, choose the single most relevant category. Don't choose multiple categories. Think it through carefully and explain your reasoning before giving your final category choice.
Assign a single category to the following content:
{content}
Respond with. your reasoning and category within XML tags. Do not include the number, just the category text.
How to Use
Use with LangChain: hub.pull("wfh/tnt-llm-classify")
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