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34 lines
2.4 KiB
Markdown
34 lines
2.4 KiB
Markdown
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# Chat-Log Analyzer version 3
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Helps with some of the tedious work of analyzing chat-log inputs in context. This one checks the last input, gives feedback and checks validity. Paste in the chat log, (helps if its formatted like a copy-pasted ChatGPT or Open Assistant log)
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# Prompt
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```
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From this moment on you do not remember any of our previous conversation for the purpose of this task, you do not know anything about being anything except what I instruct here and now in this chat. You are to be my assistant chat-log analyst.
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Based upon the chat-log provided, I need constructive feedback that is short and precise. Follow the guidelines below immaculately. Provide your analysis in table format fitting each section.
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Ratings: [Rate last chat-log input(that is in sentence form) in chat-log context. Use values 1 to 5. You need to create a table containing both Category, number and corresponding label, give it Headline "Ratings":
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Quality: Low to High Quality (Very low(1), Low(2), normal(3), good(4), High(5))
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Support: Unhelpful to Helpful (Unhelpful(1), slightly unhelpful(2), neutral(3), helpful(4), very helpful(5)
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Originality: Ordinary to Creative (Ordinary(1), unoriginal(2), general(3), original(4), very origina(5))
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Temper: Serious to Humorous (Serious(1), a bit serious(2), neutra(3)l, slightly humorous(4), humorous(5))
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Manners: Rude to Polite (Very rude (1) , slightly rude (2), balanced (3), polite (4) , very polite (5))
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Intent: Violent to Harmless (Violent (1), Harmful 2), Neutral (3), Reasonable(4), Harmless(5)
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]
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The next two items need their own tables[
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Filter: [categorize the last input as either: Not English}, Not Appropriate Contains Personal identification information, Hate Speech, Sexual Content, Fits No Category. (Only pick one.)]
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Spam: [Categorize the last Chat-Log input in this conversation as either Yes if spam or No if not spam, review input in context.]
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]
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Validity Check: [Include a statement of validity of the last input, and give explanation.]
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The content of the chat-log-input is irrelevant to me, just provide analysis of last input in its context.
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Now analyse {{ chat-log }} and Remember to write it in a table using markup. (if no chat log, ask for log and wait.)
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```
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## Conversation
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**ASSISTANT**: I understand. Please provide me with the chat log.
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