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Over the last six months, we\u2019ve launched our most capable models yet, including Gemini 1.5 Pro, and today we\u2019re taking Gemini 1.5 Pro into public preview for our Cloud customers and developers. Gemini 1.5 Pro shows dramatically enhanced performance, and includes a breakthrough in long context understanding. That means it can run 1 million tokens of information consistently, opening up new possibilities for enterprises to create, discover and build using AI.<\/p>\n
When combined with Gemini\u2019s multimodal capabilities (which can process audio, video, text, code and more), long context enables enterprises to do things that just weren\u2019t possible with AI before. For example, a gaming company could provide a video analysis of a player\u2019s performance, along with tips to improve. Or an insurance company could combine video, images and text inputs to create an incident report, making the claims process easier.<\/p>\n
We\u2019re also expanding access to a new version of our open model Gemma, designed to help customers with code generation and other types of code assistance.<\/p>\n
These are now available on Vertex AI, which is Google Cloud\u2019s platform to customize and fully manage a wide range of leading gen AI models. Today more than 1 million developers are now using our generative AI across tools including AI Studio and Vertex AI. Additionally, through Vertex AI, customers now can augment and ground their models \u2014 connecting model outputs to verifiable sources of information \u2014 in two new ways. The first is with Google Search, which provides high quality information to improve the accuracy of responses. The second is with your own data and sources of truth, such as enterprise applications like Workday or Salesforce and Google Cloud databases like BigQuery.<\/p>\n<\/div>\n