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JevMade field notes / Implementation guide

Guide to making an AI assistant pick exact answers from text

An AI assistant can be set up to find exact quotes or pick from a list of choices. The software highlights specific details in a document instead of writing new sentences.

Original by mmastracExtraction

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Our summary

This project sets up an AI assistant to read documents. It can pull out exact quotes or pick from a list of choices. People use this to quickly find specific details in a text. This stops the software from writing extra sentences that are hard to sort through.

The software uses Jev, an AI tool that chooses from options rather than writing an answer. When you ask a question, the assistant highlights the exact words in the original document. It can also select an allowed label. This ensures the answer only contains the requested information.

This guide is useful for developers who want to test pulling exact information from text. The setup requires specific software called DiffusionGemma. The included test files help users check how the software handles different questions. You should run these tests before using it on real tasks.

Key takeaways

  1. Send your questions to the specific address instead of trying to read generated text.
  2. Restricting the software to specific choices changes how it estimates its confidence in an answer.
  3. Test the software with the included examples before relying on it to extract important information.

This setup requires a DiffusionGemma environment. The author's extraction results were not independently tested, and restricted percentage scores do not match standard unrestricted scores.

GitHub README and server

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