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Crypto News > Blog > News > Gemini 2.0: the new era of Agentic Artificial Intelligence – Crypto
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Gemini 2.0: the new era of Agentic Artificial Intelligence – Crypto

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Last updated: 2024/12/12 at 11:59 PM
Crypto Published December 12, 2024
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Gemini 2.0: the new era of Agentic Artificial Intelligence
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Contents
Gemini 2.0 Flash: the spearhead of multimodal AIDeveloper Availability and Early AccessNew Multimodal Live API: real-time interactionA smarter, more capable Gemini assistantThe Agentic Age: beyond traditional interactionKey projects: Astra, Mariner and JulesIn short: a more intelligent and autonomous futureRelatedCrypto Keynote USA

Innovation and precision in a single model.

Google DeepMind has introduced Gemini 2.0, a revolutionary advance in the field of artificial intelligence (AI). This new model introduces agentic capabilities that allow for more fluid interaction with digital applications and tools.

The experimental version of Gemini 2.0 Flash is emerging as the key piece of this evolution, with superior performance, lower latency and versatility never seen before.

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Gemini 2.0 Flash: the spearhead of multimodal AI

Gemini 2.0 Flash inherits the strengths of its predecessor, the 1.5 Flash model, but with a clear competitive advantage. This model not only surpasses the 1.5 Pro in speed and performance, but also introduces new capabilities.

Developers can now work with multimodal inputs that include images, videos, and audio, while outputs span text, natively generated images, and multilingual audio generated using customizable text-to-speech (TTS).

The ability to invoke tools natively has also been a significant advancement. Gemini 2.0 Flash can use Google Search, execute code, and use functions defined by third parties, all in an integrated way. This improvement expands the possibilities of automation and customization of processes in various applications.

Developer Availability and Early Access

Early access to Gemini 2.0 Flash is now available to developers through the Gemini API in Google AI Studio and Vertex AI. Multimodal input and text output are open to all developers.

However, imaging and text-to-speech (TTS) capabilities are only available to early access partners.

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General availability is scheduled for January, along with new model sizes to suit different needs. With this strategy, Google DeepMind seeks to democratize access to advanced artificial intelligence.

New Multimodal Live API: real-time interaction

To drive the creation of more interactive applications, Google has also launched the Multimodal Live API. This API allows the input of audio and video in real time and the simultaneous use of multiple combined tools. This functionality opens the doors to a new generation of applications in sectors such as customer service, education and entertainment.

A smarter, more capable Gemini assistant

Gemini app users will now be able to access a chat-optimized version of Gemini 2.0 Flash. This version will be available on both mobile and desktop web and in the Gemini mobile app soon.

The inclusion of Gemini 2.0 Flash in the application means a more agile and intuitive user experience. Users will be able to benefit from improved speed and accuracy, as well as the ability to understand and execute more complex tasks.

The Agentic Age: beyond traditional interaction

The true potential of Gemini 2.0 is manifested in its agentic capabilities. This model goes beyond simple interaction with AI. Now, it is possible to enjoy agentic experiences, where the system can autonomously perform actions on the user interface.

With its capabilities in multimodal reasoning, long context understanding, following complex instructions, planning and using native tools, Gemini 2.0 allows you to automate complex tasks. These skills translate into a much smoother and more efficient user experience.

Key projects: Astra, Mariner and Jules

Google DeepMind is exploring the future of artificial intelligence with a series of projects that stand out for their innovative approach:

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  • Project Astra: This research prototype seeks to define the future of universal AI assistants, with expanded interaction and action capabilities.
  • Project Mariner: This project investigates new forms of human-agent interaction, starting with the user experience in Web browsers.
  • Jules: An AI-powered code agent that aims to help developers write code more efficiently and accurately.

These projects are in their early stages, but they promise to transform the way people interact with AI. Google DeepMind is working with trusted testers to test these capabilities, with a view to making them available in future products.

In short: a more intelligent and autonomous future

The introduction of Gemini 2.0 marks the beginning of a new era in artificial intelligence.

This model not only improves speed, accuracy, and responsiveness, but also enables agentic experiences that previously seemed impossible.

With Gemini 2.0, Google DeepMind reaffirms its commitment to making advanced AI available to developers and users around the world. The agentic era has begun, and with it, a new way of interacting with technology.

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