Google Cloud’s Vertex AI platform is continuously updated to improve the reliability and accuracy of its generative AI. Several recently launched features are designed to help businesses better leverage Google's machine learning and large language model building services while reducing the risk of models outputting misleading or inaccurate information. These updates cover the expansion of data sources, improvements in model accuracy, and enhancements in search functions, providing enterprise-level users with a more reliable and accurate AI experience. This article details these important updates.
Vertex AI, Google's cloud development platform designed to help enterprises build services using Google's machine learning and large language models, is rolling out new features to prevent apps and services from spreading inaccurate information.
In addition to the Grounding with Google Search feature launched in May, Google also announced that customers can choose to use specialized third-party data sets to improve its service's AI results. These third-party data sets come from data providers such as Moody's, MSCI, Thomson Reuters and ZoomInfo and are expected to be available in the third quarter of this year. Google is developing these new features to encourage organizations to adopt its "enterprise-ready" generative AI experiences and reduce the frequency with which models output misleading or inaccurate information.
Additionally, a "High Fidelity Mode" has been launched, allowing organizations to draw the information that generates output from their own enterprise data sets, rather than from Gemini's extensive knowledge base. High-fidelity mode is provided by a specialized version of Gemini1.5Flash and is currently available for preview through Vertex AI's Experiments tool. Organizations can also allow Google's AI models to draw information from their own company data sets.
At the same time, Google has also expanded the Vector Search function to support hybrid search, allowing users to find pictures by referencing similar graphics. The update is currently available for public preview and allows vector-based searches to be paired with text keyword-based searches for improved accuracy. Grounding with Google Search will also soon offer a "dynamic retrieval" feature that automatically selects whether information should be obtained from Gemini's established datasets or from Google Search, in response to prompts that resources may need to be updated frequently.
Highlight:
⭐ Google launches third-party data set function to help improve AI results
⭐ Launch of “High Fidelity Mode” that allows organizations to obtain information from their own data sets to generate outputs
⭐ Extended the Vector Search function to support hybrid search and improve accuracy
All in all, these new features of Google Vertex AI significantly enhance the reliability and practicality of its generative AI, provide enterprise users with safer, more accurate, and more flexible AI solutions, and further consolidate its presence in the enterprise-level AI market. competitive advantage in.