It's also exciting because Gemini Ultra is state of the art in 30 of the 32 leading benchmarks, and particularly in the multimodal benchmarks. That MMMU benchmark-it shows the progress there. I personally find it exciting that in MMLU [massive multi-task language understanding], which has been one of the leading benchmarks, it crossed the 90% threshold, which is a big milestone. The state of the art two years ago was 30, or 40%. So just think about how much the field is progressing.
Beyond its multimodal capabilities, Gemini is designed for efficiency and scalability. Its architecture allows for rapid integration with existing tools and APIs, making it a powerful engine for driving future innovations in AI.
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