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Research findings on LLM behavior, caching strategies, and intelligent model selection.
4 posts
Semantic caching stores vector embeddings of LLM responses and returns them instantly when similar prompts arrive. Here's how it works and what savings to expect.
Self-hosting an LLM looks cheaper on paper — until you account for GPU costs, engineering time, and operational overhead. Here is the honest break-even math for 2026.