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@@ -19,7 +19,7 @@ This utility is designed to enable the easy separation of prompts and outputs wh
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  The utility uses GPT 3.5 in order to send the prompt and output to the large language model and it uses the LLM both to distinguish between these 2 items which are sent back in a JSON response and it also suggests a title
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- The intended use case for this utility is if you have a lot of prompts and outputs recorded together in text files on your computer and you are undertaking the process of adding these to a database in which case having quickly generated titles as well as separated prompts and outputs to distinguish these and the data structure might be useful.
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  As with many projects, this was a collaboration between my prompting and clumsy debugging and the code generation abilities of Claude Anthropic 3.5 Sonnet.
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  The utility uses GPT 3.5 in order to send the prompt and output to the large language model and it uses the LLM both to distinguish between these 2 items which are sent back in a JSON response and it also suggests a title
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+ The intended use case for this utility is if you have a lot of prompts and outputs recorded together in text files on your computer and you are undertaking the process of adding these to a database in which case having quickly generated titles as well as separated prompts and outputs to distinguish these and the data structure might be useful
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  As with many projects, this was a collaboration between my prompting and clumsy debugging and the code generation abilities of Claude Anthropic 3.5 Sonnet.
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