![]() Model Garden lets customers access and experiment with foundation models from Google and its partners, with over 60 models available and many more to come. ![]() Now generally available to customers, Model Garden and Generative AI Studio leverage Google Cloud’s tight partnership with Google Research and Google DeepMind, making it easy for developers and data scientists to use, customize, and deploy models. That’s why in March, we announced Generative AI support on Vertex AI, the biggest-ever update to our machine learning platform, and began working with trusted testers. ![]() Vertex AI powers generative AI model customization for enterprise developers, data scientists, and everyone in betweenįoundation models are the starting point for creating customized generative AI applications-but models alone are not sufficient. Backed by enterprise-grade data governance, security, and safety features, Vertex AI can make it easier than ever for customers to access foundation models, customize them with their own data, and quickly build generative AI applications. With this update, developers can access our text model powered by PaLM 2, Embeddings API for text, and other foundation models in Model Garden, as well as leverage user-friendly tools in Generative AI Studio for model tuning and deployment. Today, we’re excited to announce general availability of Generative AI support on Vertex AI, giving customers access to our latest platform capabilities for building and powering custom generative AI applications. Models also need to be backed by platforms that make adoption faster and safer, with onramps to meet organizations wherever they are, regardless of their software or data science expertise. Doing so requires more than making powerful foundation models available to businesses, governments, and developers. At Google Cloud, we’re committed to making generative AI useful for everyone. ![]()
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