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LLMs can get a 27.8% boost in mathematical reasoning by fusing a hardware-efficient optimal control layer directly into their architecture, enabling planning before prediction.
Forget discrete search and trial-and-error prompting: nabla-Reasoner uses gradient descent in the LLM's latent space to boost reasoning accuracy by 20% while cutting model calls by up to 40%.
