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