Google Search is one of the best steps in startup for camping trip or writing. But often than not, one Google Search will lead to another, and another … and another. Now.
Google now wants to use an algorithm called MUM to deep, expert information for complicated researches, saving you from searching multiple queries.
Demonstrated at Google’s I/O 2021 event, MUM is inspired by real-world experts who can provide wide-range, and topical info on certain subjects. You only need to ask an expert on snowboarding a few questions to know what equipment you require what time of day you should visit slope, and important safety info. Why should Google be any different from others?
Google built MUM by its open-source Transformer architecture. Like the BERT model that launched in 2019, MUM is a contextual AI that can listen and generate languages. It looks for multiple keywords in searches, parsing the data of those words by determine what information you needed ( and how deep that info you should go with )
When its put into useage, Googles MUM could show up at the top of some Google Searches results to able of answering different questions like an experts. Google says that the MUM algorithm can even source images contents, crafting unique articles and explainers like a journalists.
Google is in the early days of testing MUM A.I, and it may take awhile for the algorithm to really make a splash. Humans will oversee the software’s activities to make sure that it’s providing useful, accurate results for search queries and data, which may be a challenge given the short queries people tend to write into Google Searches.