Today was the release of Gemini 1.5 by Google and DeepMind, an incremental improvement over its predecessor, Gemini 1.0 Ultra, and a qualitative leap in the way AI models can understand and process information at a large scale.
Gemini 1.5 represents a significant change in the artificial intelligence landscape, thanks to its cutting-edge architecture and its ability to process long contexts efficiently. It is the result of meticulous work in research and development, which demonstrates Google and DeepMind’s commitment to safety and ethics in AI.
Innovative architecture
Efficiency is a key word when we talk about Gemini 1.5. This model introduces a Mixture of Experts (MoE) architecture, allowing only the most relevant parts of the neural network to activate based on the type of input received. This specialization not only improves the efficiency of the model, but also allows faster learning of complex tasks while maintaining high quality of the results. Imagine having several specialists instead of one generalist treating each specific problem; This is how Gemini 1.5 approaches information processing.
One of the most exciting innovations of Gemini 1.5 is its ability to understand long contexts, something no other large-scale model has achieved before. With a standard context window of 128,000 tokens, and the ability to expand up to 1 million tokens in a limited preview, the applications of this model are simply amazing. This means that it can process, in a single attempt, from one hour of video, 11 hours of audio, code bases with more than 30,000 lines, to documents of more than 700,000 words. The ability to reason about this vast amount of information opens new doors for content creation and analysis at an unprecedented scale.
Gemini 1.5 Pro, the first version of this model intended for early testing, not only matches but in many cases surpasses its predecessor 1.0 Ultra in terms of performance, even with lower computing usage. From analyzing and classifying large volumes of content to solving relevant problems in large blocks of code, the possibilities are endless. Imagine being able to dive into the details of 402 pages of Apollo 11 mission transcripts or analyze the plot points of a Buster Keaton silent film; Gemini 1.5 makes it possible.
Ethics and safety
The implementation of Gemini 1.5 has not been taken lightly, especially when it comes to ethics and security. Following Google’s AI Principles, the model has gone through extensive testing to identify and mitigate potential risks, ensuring responsible deployment of this powerful tool. This is a clear example of Google and DeepMind’s commitment to the sustainable and safe development of artificial intelligence.
How to test it
The promise of Gemini 1.5 is not limited to Google researchers and developers; It is open to developers and enterprise customers through AI Studio and Vertex AI. This is a unique opportunity to experience first-hand with this cutting-edge technology and explore new ways to create and discover using AI.
To do so, you have to register in this form and wait your turn.
The introduction of Gemini 1.5 marks an exciting time in the evolution of artificial intelligence. It was clear that Google would make a move, and now it seems that it is almost everything ready to integrate all this generative AI into its search engine and forever change the Internet as we know it.
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