Google has announced its generative AI is ready and available to the public. In addition, its Enterprise Search on Generative AI App Builder is now easier to use.

Google Makes Advanced AI Available to Development Teams for Integration in Apps

As I was reading the first paragraph of the article we are featuring today I had to pause for a minute. I was thinking about whether someone living in the ’70s would be able to make any sense of it. AI has created a new language and way of operating for businesses.

The article written by Janakiram MSV is tech-talk-heavy in describing the latest offerings from Google, which may give it an advantage in the ongoing battle over data retrieval for customers with Microsoft, an area Google has dominated for years. This announcement might help Google keep up with the OpenAI ChatGPT that has partnered with Microsoft.

Vertex AI

Google announced the general availability of generative AI services based on Vertex AI, the machine learning platform as a service (ML PaaS) offering from Google Cloud. With the service becoming generally available, enterprises and organizations could integrate the platform’s capabilities with their applications. Now if you are computer savvy this might not be a problem. But if you aren’t, it is a little bit like a foreign language.

The update enables a word completion model, API for text, and other foundation models in the Model Garden. Developers can also leverage Generative AI Studio tools to create customized models. Google claims that enterprise-grade data governance, security, and safety features are built into the platform.

Below is an introductory video for the Vertex AI Model Garden.

“Customers can use the above Model Garden to access and evaluate base models from Google and its partners. There are over 60 models, with plans for adding newer models in the future. Also, 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.”

Model Garden provides implementations of many state-of-the-art machine learning (ML) models for vision and natural language processing (NLP), as well as workflow tools to let developers quickly configure and run those models on standard datasets.

Security in the Cloud

Vulnerability to hackers is a concern for developers. Google has assured developers that safeguards in Vertex AI and Gen App Builder enable them to keep data under their full control. 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.

The tools involved with this release will answer phones, proofread written code, sort through invoices, and enable the development of dozens of other services specifically designed for a company’s own platforms.