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Google Tests New AI Mode to Handle More Complicated Queries
Alphabet Inc.'s Google will begin testing a new artificial intelligence-powered search mode, which lets people ask multipart questions -- a preview of how its flagship product might evolve dramatically. The new feature, known as AI Mode, runs several related searches in the background simultaneously, guessing what subtopics people will be interested in next and presenting one cohesive answer that summarizes multiple lines of inquiry, said Robby Stein, vice president of product for Google search, in an interview.
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Google supercharges Search with an AI Mode to answer complex questions
The AI Mode allows users to ask complex, multi-part questions in Search, like "What's the difference in sleep tracking features between a smart ring, smartwatch, and tracking mat" or "When is the best time this week to schedule an outdoor engagement photoshoot in the bottom public garden." It uses a "query fan-out" technique and conducts multiple searches across related subtopics and data sources to deliver an easy-to-understand response.
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Google introduces AI Mode, a new feature in Search that uses advanced AI to handle multi-part questions and provide comprehensive answers by conducting multiple related searches simultaneously.
Google, the tech giant under Alphabet Inc., is set to revolutionize its search capabilities with the introduction of AI Mode, a cutting-edge feature designed to handle intricate, multi-part questions. This development marks a significant evolution in Google's flagship product, potentially transforming how users interact with the search engine 1.
The new AI Mode employs advanced artificial intelligence to process complex queries by simultaneously running multiple related searches in the background. This innovative approach, known as "query fan-out," allows the system to anticipate and explore various subtopics that users might be interested in, ultimately presenting a cohesive and comprehensive answer 2.
Robby Stein, Vice President of Product for Google Search, explained that AI Mode can handle queries such as "What's the difference in sleep tracking features between a smart ring, smartwatch, and tracking mat" or "When is the best time this week to schedule an outdoor engagement photoshoot in the bottom public garden." The system breaks down these multi-faceted questions into subtopics, conducts separate searches, and then synthesizes the information into a single, easy-to-understand response 12.
This new feature has the potential to significantly enhance the search experience for users. By addressing complex queries more effectively, AI Mode could save time and provide more accurate and comprehensive information. Users will be able to obtain answers to intricate questions without the need to conduct multiple separate searches or piece together information from various sources 2.
The introduction of AI Mode represents a strategic move by Google to maintain its dominance in the search engine market. As artificial intelligence continues to advance, integrating these capabilities into core products like Search demonstrates Google's commitment to innovation and improving user experience 1.
This development could also have significant implications for Google's business model. By providing more comprehensive and accurate answers directly within the search results, Google might be able to increase user engagement and potentially create new opportunities for targeted advertising or premium services 12.
Google is currently in the testing phase for AI Mode, suggesting that the company is taking a measured approach to its implementation. This cautious strategy allows Google to refine the technology and assess its performance before a wider rollout. The timeline for a full public release has not been disclosed, indicating that Google is prioritizing quality and reliability over speed to market 12.
As AI Mode continues to evolve, it will be interesting to observe how it impacts user behavior, search engine optimization practices, and the broader landscape of online information retrieval. This development represents a significant step forward in the application of AI to everyday digital tools, potentially setting a new standard for search engine capabilities in the coming years.
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