Google Worker will now understand your point better than before with the new update!

After the Google Worker update, it will now be able to identify and pronounce the speech better than before. This update of Google for virtual assistants will also help in understanding the dialogue reference based on the information shared by the user besides identifying unique names. This search will implement a biostral representation from transformers (BERT) system to improve the quality of interaction between giants, Google Assistant and user. This update is currently available on Google Smart Speakers in the US. Soon it will also be seen in smartphone and smartdice in the near future.

Announcing this update through a blog post, Google is trying to make its assistant more user friendly, which will also be able to pronounce unique names and will recall speech. Google said that now users can also teach virtual assistants to recognize and pronounce unique names. The company said that now the matter of assistant users will be heard without record and will remember it. Currently this feature is available only for English language but Google will soon add other languages to it.

The second important feature is to identify the user’s speech and remove the correct reference to the talks. For this, Google has rebuilt Assistant’s Natural Language Understanding Model. So that it can improve the reference resolution along with understanding the reference. The company said that this update uses the machine learning technology run by Bert. Due to this, now Google Assistant will be able to work on 100 percent accuracy for the command of the alarm and timers. Apart from smart speakers, Google also talked about bringing this feature on other devices.

Google has also implemented Bert to increase the quality of dialogue between users and assistants. Now Assistant will also use the old conversation to answer and respond. It will also be able to understand what is being shown on the screen. This will now try to make the conversation more natural by answering follow -up questions.