Cookie Consent by Free Privacy Policy Generator ๐Ÿ“Œ Google AI Introduces AltUp (Alternating Updates): An Artificial Intelligence Method that Takes Advantage of Increasing Scale in Transformer Networks without Increasing the Computation Cost

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๐Ÿ“š Google AI Introduces AltUp (Alternating Updates): An Artificial Intelligence Method that Takes Advantage of Increasing Scale in Transformer Networks without Increasing the Computation Cost


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. However, while enhancing performance, the ever-increasing scale of these models brings about a substantial rise in compute cost and inference latency. The fundamental challenge [โ€ฆ]

The post Google AI Introduces AltUp (Alternating Updates): An Artificial Intelligence Method that Takes Advantage of Increasing Scale in Transformer Networks without Increasing the Computation Cost appeared first on MarkTechPost.

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