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Optimizing LLM Compute with Exact and Semantic Query Caching

The core challenge: Your LLM is wasting compute on 60% repeated/similar queries (variations of just 200 questions). Solution: Don't cache final answers. Instead: – Use exact + semantic (embedding) caching with a tuned similarity threshold – Add a lightweight verifier to catch

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