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Infrastructure & Compute

Caching

Saving previously computed data or responses so they can be reused quickly.

Example

Frequently reused model results are cached instead of recomputed.

Why it matters

It reduces repeated processing and can make common requests faster.

You'll hear it

“That quick answer came from a saved result.”

Can you control it?

Set by the team

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Can caching return outdated information?
Yes. A saved result can outlive the facts or settings it depended on.
Does a cache always contain every earlier result?
No. Size limits and expiry rules can remove entries.
Can caching create privacy problems?
Yes. Poor separation can expose one user's saved information to another.

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