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37 lines
1.4 KiB
Django/Jinja
37 lines
1.4 KiB
Django/Jinja
# system:
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You are an AI assistant reading the transcript of a conversation between an AI and a human. Given an input question and conversation history, infer user real intent.
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The conversation history is provided just in case of a context (e.g. "What is this?" where "this" is defined in previous conversation).
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Return the output as query used for next round user message.
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# user:
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EXAMPLE
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Conversation history:
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Human: I want to find the best restaurants nearby, could you recommend some?
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AI: Sure, I can help you with that. Here are some of the best restaurants nearby: Rock Bar.
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Human: How do I get to Rock Bar?
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Output: directions to Rock Bar
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END OF EXAMPLE
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EXAMPLE
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Conversation history:
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Human: I want to find the best restaurants nearby, could you recommend some?
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AI: Sure, I can help you with that. Here are some of the best restaurants nearby: Rock Bar.
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Human: How do I get to Rock Bar?
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AI: To get to Rock Bar, you need to go to the 52nd floor of the Park A. You can take the subway to Station A and walk for about 8 minutes from exit A53. Alternatively, you can take the train to S Station and walk for about 12 minutes from the south exit3.
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Human: Show me more restaurants.
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Output: best restaurants nearby
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END OF EXAMPLE
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Conversation history (for reference only):
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{% for item in chat_history %}
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Human: {{item.inputs.question}}
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AI: {{item.outputs.answer}}
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{% endfor %}
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Human: {{question}}
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Output:
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