Google is entering in a new era of artificial intelligence (AI) with the introduction of Gemini 1.5, the next-generation model following the success of Gemini 1.0.
This latest advancement promises to revolutionize the landscape of AI, making it more efficient and versatile for users worldwide.
Enhanced Performance with Gemini 1.5
Gemini 1.5 boasts significantly improved performance, representing a monumental shift in Google’s approach to AI development. The introduction of the Mixture-of-Experts (MoE) architecture enhances efficiency in training and serving the model, setting it apart from its predecessor.
The Gemini 1.5 Pro, the first model available for early testing, is a mid-size multimodal model optimized for scalability across diverse tasks. Notably, it introduces a breakthrough feature in long-context understanding, providing a standard 128,000 token context window. Moreover, a select group of developers and enterprise customers can experiment with an extended context window of up to 1 million tokens in a private preview via AI Studio and Vertex AI.
Efficient Architecture Driving Innovation
Built upon Google’s leading research on Transformer and MoE architecture, Gemini 1.5 demonstrates a highly efficient design. Unlike traditional Transformers, MoE models divide into smaller expert neural networks, selectively activating relevant pathways based on input type. Google’s early adoption of MoE techniques has propelled innovation in deep learning, as seen in various research projects.
These architectural innovations enable Gemini 1.5 to learn complex tasks more rapidly while maintaining quality. The efficiencies in training and serving facilitate faster iterations, allowing Google’s teams to deliver advanced versions of Gemini with unprecedented speed.
Unlocking New Possibilities with Extended Context
Gemini 1.5’s context window, comprised of tokens for processing information, has been expanded far beyond its predecessor. With the capacity to process up to 1 million tokens in production, Gemini 1.5 Pro can handle vast amounts of information in a single prompt. This includes processing 1 hour of video, 11 hours of audio, codebases with over 30,000 lines, or more than 700,000 words.
This extended context window empowers Gemini 1.5 Pro to conduct complex reasoning about extensive information, perform highly-sophisticated understanding and reasoning tasks for various modalities, and tackle relevant problem-solving tasks across longer blocks of code.
Ethics and Safety at the Core
In alignment with Google’s AI Principles and safety policies, extensive ethics and safety testing have been conducted on Gemini 1.5. The commitment to responsible deployment is evident in continuous refinement, safety evaluations, and the development of red-teaming techniques to mitigate potential harms.
As part of the responsible deployment strategy, Google is offering a limited preview of Gemini 1.5 Pro to developers and enterprise customers via AI Studio and Vertex AI. The company remains dedicated to bringing each new generation of Gemini models to a global audience responsibly, with plans to introduce pricing tiers and improvements to the model in the near future.
