Google Gemini API, AI Studio Gets a 'Grounding with Google Search' Feature
Google is introducing a new feature to the Gemini API and AI Studio called Grounding with Google Search. This feature aims to help developers enhance the responses generated by artificial intelligence by cross-referencing them with information available on the Internet. By doing so, developers can improve the accuracy and relevance of their AI-powered apps.
Importance of Grounding for AI Developers
Grounding is crucial for prompts that rely on real-time information from the web. Google's AI for Developers support page provides detailed insights into this new feature, which will be accessible on both the Gemini API and Google AI Studio. These tools are widely utilized by developers who are creating AI-enabled mobile and desktop applications.
Verifying AI Outputs with Grounding
To address this challenge, Google offers a method known as grounding, which links AI models to credible sources of information such as documents, images, and local databases. Grounding with Google Search leverages the search engine's results to validate the information generated by Gemini AI models. By using this feature, developers can ensure the accuracy, reliability, and relevance of their AI outputs.
The process helps AI models stay updated by sourcing information directly from reliable sources, thereby surpassing their knowledge cut-off date. For example, Gemini models can access the latest information through Google Search results.
Enhancing AI Responses through Grounding
Google provided an example showcasing the impact of grounding on AI-generated responses. An ungrounded response to a query about the Super Bowl winner was revised and improved after using the Grounding with Google Search feature. The refined response included additional details that enhanced its accuracy and credibility.
It is essential to note that the Grounding with Google Search feature currently supports text-based outputs and does not process multimodal responses.
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