This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Source: VentureBeat

Overview

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers.
We’ve seen “Chain of Thought” (asking the model to think step‑by‑step and often, show those “reasoning traces” to the user), “Emot…