Google recently announced a new technology

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Called the Multi-Unified Model (MUM). This solution should trigger significant changes in search results. It is likely that MUM (Multi-Task Unified Model) will consist of smaller algorithms and, at least theoretically, could make significant changes to search. Why was MUM technology invented? Google has prepared a lengthy blog post titled: MUM: A new milestone in AI for understanding information. This post gives an example of a search query entered by a user who has climbed Mount Adams, which means the mountain is in the US state of Washington.

His next destination is Mount Fuji in Japan. The kuwait cell phone number list user searches Google for information on how to prepare for the trip, what to do differently, and how to approach the matter in general. Getting support in this area currently requires sending multiple queries to a search engine - it is very difficult to find a result that answers all questions at once. Currently, it is impossible to ask a search engine several questions at once and get an answer to them immediately.

Meanwhile, by using MUM technology, Google should become an expert and at the same time give answers to very complex keywords without the need to enter many phrases. The user, by entering such a question, will receive a comprehensive answer and learn how to plan a trip. How does MUM technology work? MUM allows the search engine to better understand queries and provide answers as if the user were to submit multiple queries at once, such as "Fuji precipitation," "what to pack for Fuji," "Fuji trails," "climbing Mount Adams," and "Fuji differences.