Gemini decides to use Google Search based on its understanding of the user's inquiry. If the information requested is likely to be static, slowly changing, or rapidly evolving, Gemini will intelligently decide whether to ground the inquiry in Google Search or rely on its intrinsic knowledge. This dynamic approach enhances response accuracy and optimizes resource usage.
Dynamic retrieval in Vertex AI allows Google's advanced large language model, Gemini, to intelligently decide whether to ground user inquiries in Google Search or rely on its intrinsic knowledge2. This helps balance response quality with cost efficiency by understanding whether the requested information is likely to be static, slowly changing, or rapidly evolving.
Vertex AI is a platform developed by Google Cloud that simplifies the entire process of developing AI, from preparing data to deploying and monitoring models4. It provides a single environment for training, interacting, and discovering machine learning models and various AI applications. Vertex AI offers features like AutoML, custom model training, and pre-trained models, making it accessible to users with varying levels of machine learning expertise.