Google has announced the launch of Gemini 1.5, the successor to its large language model, Gemini. The new model, which is available to developers and enterprise users, offers several improvements over its predecessor. Gemini 1.5 Pro, the general-purpose model, matches the performance of the high-end Gemini Ultra and outperforms Gemini 1.0 Pro on 87% of benchmark tests. The model uses a technique known as “Mixture of Experts” (MoE) to run only part of the model for each query, making it faster and more efficient.

 

A notable feature of Gemini 1.5 is its large context window, which can handle queries of up to 1 million tokens, significantly larger than OpenAI’s GPT-4 and the current Gemini Pro. This allows the AI to process large amounts of content at once, such as 10-11 hours of video or tens of thousands of lines of code. Google is also testing a 10 million token context window. The larger context window is expected to be beneficial for businesses, enabling them to add extensive personal context and information to their queries. Gemini 1.5 will eventually replace Gemini 1.0, and the standard version of Gemini Pro will be updated to 1.5 Pro with a 128,000-token context window. Users will need to pay extra for the 1 million token context window. Google is also testing the model’s safety and ethical boundaries, particularly concerning the larger context window.

 

Our Innsights : In the rapidly evolving world of AI, staying ahead of the curve is crucial. With Google’s launch of Gemini 1.5, the AI landscape is shifting, and our IT consulting company is ready to help you navigate this change. Our dedicated Data Science/AI-Engineering team is equipped to leverage the power of Gemini 1.5, with its improved speed, efficiency, and large context window, to drive your business forward. Our Data Intelligence service offers the expertise to harness these advancements, turning them into actionable insights for your business. Let us help you unlock the potential of Gemini 1.5 and stay at the forefront of the AI revolution.

 

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