Generating prompt recommendations for natural language processing tasks

This invention describes a software system that helps people find the best instructions, called prompts, for natural language processing computer models. It works by taking a request for a task, figuring out what kind of task it is, then trying out different possible prompts. After seeing how well each prompt performs, the system suggests the most effective one for the user's specific job.

Why it matters: Filed just as large language models were becoming widely available, this invention addresses the critical need for effective prompt engineering. The challenge of finding optimal prompts for complex NLP tasks has grown significantly since 2022, making automated discovery and recommendation highly relevant.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, NLP models, evaluation metrics

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