villagecomputing/superpipe

Building and refining workflows that use large language models (LLMs) to process text and extract specific information can be challenging. This project helps you define clear steps for your LLM, feed it raw text data like job histories, and reliably get back structured data such as job departments. It's designed for data scientists, analysts, or product managers who need to extract consistent, categorized information from unstructured text at scale.

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