Google Introduces ‘Business Ready’ AI With More Facts and Less Fiction

Vertex AI, Google Cloud’s developer platform that lets businesses build services using Google’s machine learning and language models, is getting new features to help prevent apps and services from serving inaccurate information. After launching Vertex AI’s Grounding with Google Search feature in May, which lets models scrape live information from the internet, Google has now announced that customers will also have the ability to enhance their services’ AI results with specialized third-party datasets.

Google says the service will use data from providers including Moody’s, MSCI, Thomson Reuters and ZoomInfo, and that grounding with third-party datasets will be available in the third quarter of this year. It’s one of several new features Google is developing to encourage organizations to adopt its “enterprise-ready” generative AI experiments by reducing the frequency with which models generate misleading or inaccurate information.

Another example of this feature is “High Fidelity Mode,” which allows companies to draw insights to generate results from their own enterprise data sets rather than from Gemini’s broader knowledge base. High Fidelity Mode is powered by a specialized version of Gemini 1.5 Flash and is available now in preview via Vertex AI’s Experiments tool.

Vector search, which allows users to find images by referencing similar graphics, is also expanded to support hybrid search. The update is available in public preview and allows these vector searches to be combined with text-based keyword searches to improve accuracy. Grounding with Google Search will soon also provide a “dynamic retrieval” feature that automatically selects whether information should come from Gemini’s established datasets or Google Search for prompts that may require frequently updated resources.