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Speculative Decoding for Self-Hosted LLMs: When the Math Pays Off
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Speculative Decoding for Self-Hosted LLMs: When the Math Pays Off

DEV Community·Gabriel Anhaia·28 days ago
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#when#llm#performance#draft#model#target

A small draft model proposes tokens, the big target verifies them in parallel. Here is when that math actually pays off, and when it does not.

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The five loops between AI coding and AI engineering
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The five loops between AI coding and AI engineering

DEV Community·Andrew Kew·about 1 month ago
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One developer hit 81% PR acceptance and 91% test coverage with AI coding agents — not by picking a better model, but by closing five feedback loops. Here's the maturity model that got them there.

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