This week Google announced it will use its MUM AI model to detect personal crises among Search users. charli_bing explains how the technology works.
. The idea behind it was that words, in queries or in documents, aren’t just streams of characters, but can mean something if referring to people, places, or things in the world. “If you don’t understand the reference of what a particular string of characters mean, then you haven’t fully understood what that word means,” Nayak explains. Entities such as people, places, things, companies, were put into a database, and the knowledge graph links the relationships between them.
Moving forward, MUM is able to not only understand language like BERT, but is also able to generate language. Comparatively, MUM is much larger than BERT and has more capabilities . MUM is trained on a high quality subset of the public web corpus across all the different languages that Google serves. The search team removes low quality content, adult content, explicit content, hate speech, so the kind of language MUM learns is, in a sense, good .
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