"Grounding can help [...] when you ask a very recent question that's beyond the model's knowledge cut off, but it could also help with a question which is not as recent, [...] but you may want richer detail," Shrestha Basu Mallick, Google's group product manager for the Gemini API and AI Studio, explained.
"There might be developers who say we only want to ground on recent facts, and they would set this [dynamic retrieval value] higher. And there might be developers who say: No, I want the rich detail of Google search on everything."
AI Studio's recently launched built-in compare mode makes it easy to see how the results of grounded queries differ from those that rely solely on the model's own data.
When Google enriches results with data from Google Search, it also provides supporting links back to the underlying sources.
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