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Optimizing LLMs for Real-Time Applications

This story is from 2026-09-23. It is preserved in the archive; the latest stories are on the live feed.

Real-time applications impose hard constraints on LLM inference. Whether you are building live coding assistants, conversational voice agents, or high-frequency data extraction pipelines, latency above a few hundred milliseconds degrades user experience. The standard approach of scaling token-based…

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  1. 2026-09-23 07:34 · DEV Community — AI
    Optimizing LLMs for Real-Time Applications

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