In 2021, Prabhakar Raghavan, Senior Vice President at Google, announced the launch of a new AI model called Multitask Unified Model (MUM) at the Google I/O event. While the new model runs on the T5 framework, which is similar to BERT (Bidirectional Encoder Representation Transformer), MUM is superior to BERT by 1000 times. Google’s MUM is changing the way the search engine works as it goes beyond the traditional keyword search and cultivates a more comprehensive understanding of the user’s query. While there are many papers on the multi-model technology, one paper: “Rethinking Search: Making Domain Experts out of Dilettantes“, demonstrates the unified model approach, which is different from traditional IR systems as the model retrieves and ranks queries within the same component.
According to Google, MUM can be applied in various tasks such as document summarising, sentiment analysis, question answering, etc. Such applications have made MUM a major priority at Googleplex headquarters. With MUM gaining importance in Google’s ecosystem, will it become a key factor in search rankings? Or will it render search engine optimization (SEO) obsolete?
MUM – Same brain, new synapse
Pandu Nayak, a Google Fellow and Vice President of Search, explains the problem statement: having to type out too many queries and perform various searches to get the answer you need. MUM is an update on the current search engine (BERT) as it is built on a text-to-text transfer...
Read Full Story: https://analyticsindiamag.com/googles-mum-the-mother-of-all-search-algorithms/
Your content is great. However, if any of the content contained herein violates any rights of yours, including those of copyright, please contact us immediately by e-mail at media[@]kissrpr.com.
