SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT • SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT •
toolsWTF 6.2via r/LocalLLaMA

Putting the question before the context took my local Qwen from 89% to 100% on a decision benchmark, and from ~400 ms to ~80 ms

"Why generate many word when few prefix do trick? 5x speedup via prompt inversion."

Explain Like I'm Normal

A developer discovered that flipping prompt structure—putting the question before the context—massively boosts both speed and accuracy for local models. By making the question a static prefix, the KV cache handles the heavy lifting, dropping latency from 400ms to 80ms while surprisingly improving decision logic. This highlights how sensitive small models remain to token ordering and attention mechanisms.

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#prompt-engineering#latency#kv-caching#local-llm

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