Google has introduced a new «Grounding with Google Search» feature in Google AI Studio and the Gemini API to address the issue of LLMs having outdated knowledge.
The large language model (LLM) APIs from OpenAI, Anthropic, and Google offer acceptable responses most of the time. But they all fail miserably when it comes to responses about recent happenings. Since these LLMs are trained on a certain dataset, they have a knowledge cut-off date. To avoid this problem, Google today announced a new feature in Google AI Studio and the Gemini API that will allow users to ground their responses with Google Search.
The new Grounding with Google Search feature will enable developers to get more accurate and fresh responses from the Gemini LLMs. The best part of this new feature is that the model even provides grounding sources (in-line supporting links) and Search Suggestions corresponding to the grounded response.
