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Google Unveils Advanced AI Model Gemini 2.0

BNE News Desk , December 12, 2024
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California: In a significant leap forward in artificial intelligence, Google has launched Gemini 2.0, its most advanced AI model to date. Announced on Wednesday by CEO Sundar Pichai, the model aims to usher in what the company terms a ‘new agentic era’ in AI development, where AI systems can better understand and make decisions about the world.

‘Gemini 2.0 is about making information much more useful,’ Sundar Pichai stated, highlighting its enhanced contextual understanding, strategic thinking, and ability to take supervised actions on behalf of users. The launch underscores fierce competition among tech giants like Google, OpenAI, Meta, and Amazon, all striving for dominance in the rapidly evolving AI sector.

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Gemini 2.0 will initially be accessible to developers and trusted testers, with broader integration planned across Google’s suite of products, particularly in Search and the Gemini platform. Powered by Google’s sixth-generation Tensor Processing Unit (TPU), the technology is called Trillium and has also been made available to Google Cloud customers.

Google unveils Gemini 2.0 Flash AI model with advanced image and audio generation capabilities
Google unveils Gemini 2.0 Flash AI model with advanced image and
audio generation capabilities (Google image)

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While Nvidia has dominated AI hardware development, Google emphasized that Trillium processors exclusively supported Gemini 2.0's training and deployment. This move highlights Google’s efforts to reduce reliance on external chip suppliers.

Millions of developers are already using Gemini-based applications integrated into seven Google products, each serving over two billion users. The expanded rollout of the enhanced Search capabilities of Gemini 2.0 is expected in early 2025, with plans to extend its AI-driven features to more languages and regions.

The first offering from the Gemini 2.0 lineup, called Gemini 2.0 Flash, will deliver faster performance while supporting various input formats such as text, images, video, and audio and generating outputs like text-to-speech and image creation. This advancement promises a transformative impact on how users interact with AI-powered services worldwide.