Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
4h
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
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