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Gemini 1.5 Pro: Google’s powerful AI advance reaches more than 35 languages

Google has been testing Music FX, its AI music lab. (Credit Infobae)

twinthe AI ​​personal assistant I developed Googleis now revolutionizing the way users interact with technology in a global context, with the launch of Gemini 1.5 Pro, this update designed specifically for subscribers advanced gemini, It brings with it a series of innovations and improvements, among which it stands out Availability in more than 35 languages, Opening the door to a more comprehensive and globally accessible experience.

One of the most notable features of Gemini 1.5 Pro is the expanded context window with 1 million icons, which ranks as the largest among consumer chatbots currently available. This expansion in processing capacity allows Gemini Advanced to analyze and understand large documents, summarize large volumes of emails, and in the near future, manage video content or analyze code bases of more than 30,000 lines.

For easy access to this powerful tool, users can upload files directly from or through their devices Google Drivesignificantly improving efficiency in dense information management.

From dense documents to data analysis: Gemini Advanced transforms information management. (Google)

In addition to its improved performance in text analysis, Gemini 1.5 Pro delivers significant advances in image understanding. Users can extract recipes from images of dishes, or get detailed instructions for solving mathematical problems using just an image. These capabilities are born from Gemini’s multimedia nature, which has been greatly improved in this latest version.

The launch of Gemini 1.5 Pro, at which Infobae was present, marks an important milestone in Google’s efforts to make AI a more accessible and useful tool for a global audience. Its availability in such a wide range of languages ​​not only demonstrates the company’s commitment to this Linguistic comprehensivenessbut it also makes it easier for users around the world to take full advantage of Gemini’s advanced capabilities to simplify tasks, improve productivity, and enrich daily interaction with technology.

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With these updatesGemini is establishing itself as an indispensable tool in the digital lives of its usersIt promises to change the way we interact with artificial intelligence in our daily lives, regardless of the language we speak.

Custom Gems: A new era of adaptive AI with advanced Gemini. (picture information)

Google Cloud announced a series of important updates to its Vertex AI platform during Google I/O24, highlighting the introduction of new models developed in collaboration with Google DeepMind and other Google teams. This step forward in artificial intelligence Enterprise is designed to accelerate innovation and deployment of AI applications and agents, adapting to a wide range of business needs.

Among the new features is Gemini 1.5 Flash, a lighter, more efficient version of the Gemini 1.5 Pro model, aimed at improving high-volume tasks where costs and latency are critical, such as chat applications and detailed content analysis. With a contextual window of 1 million tokens, this release promises to change the way companies approach interactions and process information at scale.

The Gemma model family is also expanding with PaliGemma, the first computer vision and natural language model, designed for specific tasks including describing images and answering visual questions. This represents an important advance in the development of applications that require a deeper understanding of images and their context.

From dense documents to data analysis: Gemini Advanced transforms information management (info pictograms)

The update promises more innovations with the arrival of Imagen 3 and Gemma 2, models that will enhance the imaging and application development capabilities of Vertex AI users. With these additions, Google Cloud expands the possibilities for developers and businesses, allowing the creation of more sophisticated and personalized solutions.

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The new capabilities announced, such as context caching and controlled generation, along with the Batch API, represent a step forward in Google Cloud’s goal of making it easier to develop and deploy AI models at scale, improving performance and lowering costs.

This set of updates Vertex Artificial Intelligence It reinforces Google Cloud’s commitment to AI innovation, providing companies with more powerful and flexible tools to deploy AI applications in production, thereby accelerating the path to a smarter, more automated digital transformation.

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