New Delhi: Google, an American multinational company offering artificial intelligence (AI) based web search and application, has announced that generative AI support on the Vertex AI platform is now generally available. With the service becoming generally available, enterprises and organizations could integrate the platform’s capabilities with their applications.
The new update will help the developers access 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,” the Google said in a blogpost.
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Model Garden allows users to access and experiment with foundation models from Google and its partners, with over 60 models available and more to come. Also, Vertex AI offers a full ecosystem of tools to help builders tune, deploy, and govern models in production. For example, it was the first enterprise-grade ML PaaS to offer Reinforcement Learning with Human Feedback (RLHF) in May. This service leverages human feedback to improve the accuracy of fine-tuned models trained with custom datasets. With Generative AI Studio becoming generally available, customers can use a wider range of tools, such as multiple tuning methods for large models, to build custom generative AI applications much faster.
“We’re also making our recently-announced Codey model for code completion, generation, and chat available for public preview,” it added. The company had announced the generative AI support on Vertex AI in March this year, and began working with trusted testers. Vertex AI gives builders a full set of tools to help them tune, launch and manage models in production.
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Google also announced case studies and evidence of customers utilizing its generative AI platform. GA Telesis is using the PaLM model on Vertex AI to build a data extraction system that uses email orders to create quotes for customers automatically. GitLab’s ‘Explain this Vulnerability’ feature uses the Codey model on Vertex AI. This capability gives developers a natural language description of code flaws and suggestions for how to fix them. Canva, the online design tool, helps its users who don’t speak English by using Google Cloud’s generative AI to translate languages.
It is also trying ways to use PaLM technology to turn short video clips into longer, more interesting stories. Vertex AI is also being used by companies like Typeface and DataStax to build new tools for generative AI.
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In another development, the Google has also made Enterprise Search on Generative AI App Builder (Gen App Builder) easier to use. This means that companies can use generative AI and Google’s semantic search technologies to make their own chatbots and search engines. The Gen App Builder has out-of-the-box starter kits for popular use cases of generative AI.
Google assures customers that with Vertex AI and Gen App Builder, their data remains under their full control and will not leave their tenant. The data is safeguarded during transit and while at rest, and Google will not share it or use it for training its models. Google tests its new models carefully to ensure they meet its Responsible AI Principles, and all of its generative AI services include the user security, data management and access controls that Google Cloud customers have come to expect.
Meanwhile, Microsoft is positioning itself as a leader in this area by partnering with OpenAI and making significant investments. With Google announcing the general availability of its own generative AI platform, customers get the choice to choose the best option for their specific business needs.
