Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...
The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
A marriage of formal methods and LLMs seeks to harness the strengths of both.
If you've ever watched a glass blower at work, you've seen a material behaving in a very special way. As it cools, the viscosity of molten glass increases steadily but gradually, allowing it to be ...
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