Google has announced the general availability of its generative AI services based on Vertex AI, a machine learning platform as a service (ML PaaS) from Google Cloud. This move allows enterprises and organizations to integrate the platform’s capabilities into their applications, opening up a new world of possibilities.
The update introduces several new tools and models, including the word completion model driven by PaLM 2, the Embeddings API for text, and other foundation models in the Model Garden. Developers can also utilize the Generative AI Studio to fine-tune and deploy customized models. Google assures that enterprise-grade data governance, security, and safety features are built into the Vertex AI platform.
The Model Garden provides access to over 60 base models from Google and its partners, with plans for adding more in the future. The Codey model for code completion, code generation, and chat, announced at the Google I/O conference in May, is now available for public preview.
Several customers are already leveraging Google’s generative AI platform. GA Telesis is using the PaLM model on Vertex AI to build a data extraction system that automatically creates quotes from email orders. GitLab’s ‘Explain this Vulnerability’ feature uses the Codey model on Vertex AI to provide natural language descriptions of code flaws and suggestions for fixes.
Google’s move into generative AI, which allows for the creation of new content using machine learning, intensifies the competition in this field. With Microsoft also making significant investments in partnership with OpenAI, customers now have a choice of platforms for their specific business needs.