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Google’s Generative AI Support in Vertex AI Now Available
Google has announced that its generative AI support in Vertex AI is now generally available for developers. Vertex AI is Google’s machine learning platform that offers a range of enterprise-ready foundation and task-specific models, including Google’s models like PaLM 2, Imagen, and Codey. These models enable developers to generate and classify text, build ChatGPT-like multi-turn chat experiences, and use text embedding APIs for tasks like semantic search and recommendation engines.
Models Available in Vertex AI’s Model Garden
The available models will be part of the Vertex AI Model Garden, a collection of enterprise-ready foundation and task-specific models that enable developers to build custom solutions. In addition, Google’s recently launched model for code completion, named Codey, and the PaLM for Chat model will also be available in the Model Garden.
Codey and PaLM for Chat Debut in the Model Garden
Many of Google’s partners are already using Codey with GitLab using it for its explain this vulnerability feature and Canva using Vertex AI’s translation feature to better support its non-English speaking users. Furthermore, Canva is also testing the PaLM model to turn short video clips into longer stories.
New Partnerships and Integrations with Google’s AI Tools
Several companies announced new partnerships with Google’s AI tools such as Typeface, a company focusing on creative business use cases for generative AI, which announced a deep integration with Google’s AI tools. DataStax also announced that its Astra DB database service on Google Cloud now supports vector search, which will allow AI models to use the service for long-term memory. In addition, Neo4j announced a new integration with Google Cloud’s generative AI features in Vertex AI. Some of the new capabilities in this integration include the transformation of unstructured data into knowledge graphs and enriching these knowledge graphs in real-time.
New Features from Twilio Powered by Vertex AI
Finally, Twilio also announced that it is exploring new Vertex AI-powered features, which include new personalized best next action recommendations for contact center agents and automating call summaries.
Conclusion
Google’s general availability of its generative AI support in Vertex AI is a significant development for developers who would like to build high-performing enterprise solutions. With access to Google’s powerful models like PaLM 2, Imagen, and Codey, developers can generate and classify texts, use text embedding APIs for semantic search and build ChatGPT-like multi-turn chat experiences. Furthermore, partnerships and integrations with Google’s AI tools from several companies, including Typeface and Neo4j, enrich the capabilities of Vertex AI.
FAQs
What is Vertex AI?
Vertex AI is Google’s machine learning platform, offering enterprise-ready foundation and task-specific models for developers building custom solutions.
What models are available in the Vertex AI Model Garden?
Google’s models like PaLM 2, Imagen, and Codey, as well as the recently launched Codey and the PaLM for Chat model, are available in the Vertex AI Model Garden.
Which companies are using Google’s AI models?
Several companies are already leveraging Google’s AI models, including GitLab using Codey for its explain this vulnerability feature, Canva using Vertex AI’s translation feature to support its non-English speaking users and testing the PaLM model to turn short video clips into longer stories.
What partnerships and integrations with Google’s AI tools have been announced?
Typeface announced a deep integration with Google’s AI tools, while DataStax announced that its Astra DB database service on Google Cloud now supports vector search. Furthermore, Neo4j announced a new integration with Google Cloud’s generative AI features in Vertex AI.
What new features from Twilio are powered by Vertex AI?
Twilio is exploring new Vertex AI-powered features, including new personalized best next action recommendations for contact center agents and automating call summaries.
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