Efficient and grounded models: Contributing to AI Mode in Search
As LLMs grow larger and demand increases, our ability to improve model efficiency while maintaining and even elevating their quality determines our success in democratizing access to these high-performing models. Google Research has made breakthroughs in efficiency that have become industry standards, for example, our work on speculative decoding and cascades.
We have published research on factual consistency techniques and evaluations, and set the bar on factuality and grounding with features like double-check and the FACTS Grounding leaderboard, released in collaboration with Google DeepMind and Kaggle. Now, we have contributed our research to AI Mode, to meaningfully improve the experience for users.
Announced at I/O, AI Mode is Google’s most powerful AI search yet with advanced reasoning capabilities. It is rolling out to all users in the U.S., allowing people to conduct deeper research with follow-up questions and links to relevant sites. Our work on efficiency enables the models to run more reliably and serve quicker outputs, and our factuality research has improved the way AI Mode searches the web, helping to ensure that the answers provided are highly accurate and grounded in multiple sources with relevant links.
