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Google building a 1000-language AI model to beat ChatGPT

IANS San Francisco, March 7 Google has shared more information about the Universal Speech Model (USM), a system that the company describes as a “critical first step” in realising its goals, which is now moving closer toward its goal of...
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IANS

San Francisco, March 7

Google has shared more information about the Universal Speech Model (USM), a system that the company describes as a “critical first step” in realising its goals, which is now moving closer toward its goal of building an AI language model that supports 1,000 different languages to beat ChatGPT.

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In November last year, the company announced its plans to create a language model supporting 1,000 of the world’s most-spoken languages while also revealing its USM model.

The tech giant describes USM as a family of state-of-the-art speech models with 2 billion parameters trained on 12 million hours of speech and 28 billion sentences of text, spanning 300+ languages.

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“USM, which is for use in YouTube (e.g., for closed captions), can perform automatic speech recognition (ASR) not only on widely spoken languages like English and Mandarin, but also on under-resourced languages like Amharic, Cebuano, Assamese, and Azerbaijani to name a few,” Google said in a blogpost.

Google currently claims that USM supports over 100 languages and will serve as the “foundation” for a much larger system.

Meanwhile, Google is expected to introduce a host of AI features for its products in the near future, and among them, Gboard for Android is working to integrate the Imagen text-to-image generator.

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