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Multitask Unified Model (MUM) Algorithm in 2022
Google’s multimodal algorithm is designed to provide answers to complex questions by assessing information across multiple language text, images, video and audio. In this article I talk about MUM’s advantages and disadvantages.
MUM is an A.I. designed to analyze and generate content as a user would. It’s an evolution of the Google’s BERT algorithm (Bidirectional Encoder Representations: created to understand the context of a search query), except it is 1000 times more powerful.
The main goal of MUM is to address complex search queries. Currently, these types of queries require an average of eight searches to resolve. If you remember in my Google RankBrain Algorithm discussion both on my website and (Google RankBrain video on my channel), I talked about supervised and unsupervised learning algorithms.
Google Algorithm is not sophisticated enough to provide information of more complexed queries.
This means Google search engine and all other search engines can provide information which is searched before and restored in their search engines databases. Google Mum algorithm can literally run the Internet to find an answer that best suits a specific query.
Google MUM is able to provide information through text, image, video etc. only if humans have already given this…
