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What should an AI assistant remember?

Dhravya Shah tests ways to help AI assistants sort and save information. Some choices improve search results, but leaving out text can also mean losing details the assistant needs later.

Original by Dhravya ShahRetrieval

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Credits

“Jev changes a lot in memory & context engineering. Here's exactly how.” by Dhravya Shah. 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

An AI assistant needs useful information to answer a question. Dhravya Shah, the founder of Supermemory, tests ways to help it find that information. He uses Jev, an AI tool that chooses from options rather than writing an answer.

The tests cover putting useful search results first, splitting long documents into smaller pieces, and choosing which sentences to keep before saving information. The author also explores whether Jev could help an assistant decide when to look up something it has already saved.

The results are mixed. In the author's tests, Jev improved some search results, but other tools sometimes did better or cost less. Splitting documents this way also cost more. Removing sentences saved space, but could leave out details that matter later.

Key takeaways

  1. Compare each job with a simpler way of doing it.
  2. Removing words can save space without making the remaining information more useful.
  3. The idea of choosing when to search saved information still needs testing.

These are the author's findings. JevMade has not repeated the tests or checked the reported results independently.

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