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Google DeepMind Launches MatFormer Framework to Improve On-Device AI Capabilities [Video]

  • Last updated July 17, 2024
  • In AI News

Like Google’s Composition to Augment Language Models (CALM) framework and other products launched at the event, the MatFormer framework was also developed by India’s DeepMind team.

Google Pay GM and vice president Ambarish Kenghe announced the introduction of the MatFormer framework, which he said would “further enhance our on-device capabilities”.

“With MatFormer, you can mix and match AI models within a single framework to use the right sized model for your task. This gives you the best of both worlds – high performance and low resource consumption,” Kenghe said during Google I/O Connect in Bengaluru today.

With the announcement, the framework is officially available to developers on GitHub.

As Kenghe said, the framework is designed specifically to improve on-device capabilities. As of now, Android has a built-in foundational model, Gemma Nano, designed specifically for mobile devices, the first mobile OS to have a built-in model. The model was developed …

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