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- 18:28, 3 November 2026 JuniorBrumbaugh talk contribs created page The Two Numbers That Matter In Semantic Caching (Created page with "<br>Semantic caching is a practical way to cut the cost and latency of large-language-model applications. Instead of asking the model to answer every query from scratch, the system stores past question-answer pairs. When a new query arrives, its embedding is compared with the embeddings of stored queries. If the cosine similarity between the new query and a stored query is high enough, the cache returns the stored answer. The decision to reuse or recompute rests on a sin...")
- 18:28, 3 November 2026 JuniorBrumbaugh talk contribs created page User:JuniorBrumbaugh (Created page with "For developers: tune embedding similarity to balance recall and precision, minimize cache false positives, and handle ambiguous near-miss inputs.<br><br>My blog post; [https://zenodo.org/records/23667256 Novel Cognition research]")
- 17:17, 3 November 2026 User account JuniorBrumbaugh talk contribs was created
