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JevMade field notes / Cascade walkthrough

How to check the information an AI assistant finds in text

The author tests a way to use a cheap AI assistant to find information in text. A specialized tool checks the answers and sends doubtful records to an expensive AI assistant.

Original by TypeSafe AIExtraction

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Credits

“SDE cascade” by TypeSafe AI. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

People often use an AI assistant to pull specific details from text. Advanced assistants do this well but cost a lot of money. This guide tests a method that uses a cheaper assistant first to save money on large tasks.

The system uses a cheap assistant to find the information first. Then, an AI tool called Jev checks each detail by choosing from options to spot errors. If Jev flags a mistake, the system sends that doubtful record to the expensive assistant.

This setup is useful for people processing many records. However, the author uses a deliberately faked error to demonstrate the tool. The results from their hundred-prompt test show how it worked there. You must test your own text to find the right settings.

Key takeaways

  1. Always check if the found information is actually in the original text, not just properly formatted.
  2. Check each specific detail individually to decide if the expensive AI assistant needs to step in.
  3. Review the author's deliberately faked error and hundred-prompt test before deciding how strictly to set limits.

The guide relies on a deliberately faked error to show how the system catches mistakes. The performance charts represent the author's own tests, so you should not treat their settings as universal rules.

TypeSafe cookbook · Source reviewed

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