By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

This article is authored by Ashutosh Gupta, managing director, India and Asia Pacific, Coursera.

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Olympic snowboarder Red Gerard visualizes each of his slopestyle runs to chase championships. Here’s how to unlock the power of mental imagery for your next big event.

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.