Imagine a future in which technology is able to understand and generate not only words, but also images, sounds, and codes. A reality in which Artificial Intelligence is a creative collaborator, able to assist you in complex tasks, giving rise to new forms of expression.
Gemini, Google's multimodal model, represents the first step toward this future.
This is a family of multimodal large language models (LLMs) developed by Google AI, which can process and generate text, code, images and audio.
Unlike traditional models, which are limited to text, Google Gemini can understand and generate information in a variety of ways.
In this article we will see how technology is already revolutionizing the way we live and how we approach problem solving.
Gemini 1.0, the first version of the model, although it is constantly being updated, has already demonstrated its great potential, and is supported by all devices, from smartphones to data centers.
The multimodal model offers three different options depending on needs and use cases:
From natural image, audio and video comprehension tasks to mathematical reasoning, with an impressive 90% score, Gemini Ultra is the first model to exceed human performance in large-scale multitasking language understanding (MMLU).
The approach to building Gemini was totally different from its predecessors. While efficient, in fact, the old models are only able to process fairly simple information and tasks, lacking the ability to reason.
The new MMLU methodology allows Gemini to perform a more in-depth analysis before answering complex questions, leveraging its reasoning capabilities to achieve significant improvements over a more instantaneous response.
If until now Artificial Intelligence has been an aid in everyday life, with Gemini we are taking it a step further. It will not be an ordinary chat, but a real confrontation with a system that can find through the directions provided, the best answer to your needs.
The AI will not just give an answer after thorough reasoning, but will offer a range of solutions designed specifically for you, with images, text, and audio. You can interact with each item and request to process it further to get more information about it. The UI is also curated in order to eliminate the impression of having an aseptic conversation.
The Gemini model is natively multimodal and pre-trained on different modalities. This results in reasoning about inputs before processing a response, in a structural and discontinuity-free manner.
One of the greatest strengths is definitely the ability to sort through a very large amount of data, written or visual, filtering through the reading of the most important information, separating it from the rest, all in very few seconds.
This feature, combined with Gemini's ability to recognize text, images, and audio at the same time, is a great ally for companies to concretely speed up many internal processes.
For example, the multimodal model is capable of recognizing mathematical and physical processes, identifying whether they are correct or not, and highlighting steps where errors are present and presenting the best solution.
In the not-too-distant future, Artificial Intelligence will be an indispensable support and collaboration tool for all developers to speed up the release and processing of applications, while ensuring the same quality.
For now, Gemini can understand and process large amounts of code among popular programming languages including but not limited to Python, Java, C++, and Go. The model can also be used in advanced programming systems such as AlphaCode, which combined with Gemini has created an excellent system that can solve complex coding problems called Alphacode 2.
Gemini is already available to developers via the API on Generative AI Studio and Google Cloud Vertex AI.
Google AI Studio represents an innovative, totally free online resource designed for developers with the goal of facilitating the process of prototyping and launching applications quickly and efficiently, thanks to the integration of an API key.
When, on the other hand, the requirement becomes a fully-managed AI platform, Vertex AI proves to be the ideal choice.
With Vertex AI, it is possible to customize Gemini with complete control over data while ensuring the many benefits of Google Cloud in terms of security, privacy, data governance and regulatory compliance. With this advanced solution, developers can achieve more sophisticated and adaptable results while maintaining a reliable and secure infrastructure.
As of February 2024, Bard has officially become Gemini. This will allow all users to take advantage of version 1.0 of the Artificial Intelligence model, available in more than 40 languages.
Another important new feature is the announcement of the introduction of Gemini Advanced, a dedicated application with which highly complex tasks such as programming, logical reasoning, difficult instructions, and collaborating on creative projects can be accomplished. Powered by Ultra 1.0, it not only enables longer and more detailed conversations, but also better understands the context of previous requests.
Gemini Advanced is the perfect support for many different tasks: from creating a curriculum, to more advanced programming scenarios. AI support can help in the content creation stages as well, generating original proposals based on analysis of recent data and trends, devising the best possible strategic plan.
In addition, although momentarily available only to developers and enterprise users, Google has launched Gemini version 1.5. The latest update of the multimodal model will be more performance and feature-rich, with the addition of a contextual window that can reach up to one million tokens.
Gemini represents a significant step forward in the field of Artificial Intelligence. Its learning and reasoning capabilities, combined with its ability to communicate and generate creative content, open up new possibilities for the future.
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