Google Translate learned 110 new languages

Internet giant Google continues to improve its services. For example today Google Translate service in 110 new languages learned.

Previously supporting 133 different languages Google Translate, It learned 110 new languages ​​thanks to the PaLM 2 artificial intelligence language model developed by the company. Stating that they have taken a giant step in support, Google states that Cantonese, NKo and Tamazight are among the new languages ​​introduced. According to the company’s own research, most of the new languages ​​added are currently It is spoken by at least one million people. Google was on the agenda yesterday with its search side. The internet giant is removing the navigation infrastructure with endless scrolling in search results for desktop as of today.. As for mobile, the infrastructure that will be removed in the coming months 2021 in , on the desktop 2022 He arrived in . In the statement made by Google on this subject, “This change was made to deliver search results faster” was said. In the new period, there is a return to the page numbered navigation process and many people are not happy with this situation.

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These days, Google generally makes a name for itself in search with its artificial intelligence infrastructure. The company stated that it would fix the artificial intelligence results it disgraced, but the system is still glue for pizza. suggests. The internet giant wants to bring productive artificial intelligence directly to search results and has been doing this for a long time.Search Generative Experience (SGE)He was conducting tests under the name “. Behind these tests, instead of the site giving some results to the search terms as it does now, producing effective answers through generative artificial intelligence.

This infrastructure produces detailed answers to people about the topics they are looking for, and in addition to those published on the websites, help is received from a specially trained large language model. The system adds sources to the information it receives from websites and even generates possible follow-up questions for people.

So how exactly does this system perform? The answers produced by the system are not always good, and sometimes they are really “incredibly bad” results may occur. For example, the system has been updated in recent weeks. Cheese does not stick to pizza” in response to his search, which he took from a ridiculous Reddit post that is 11 years old, “Use chemical glue for that.” your suggestion had given.

This situation, which caused a huge stir when it fell to X, was not the only incorrect response of the system; a user was told that it would be okay to eat one stone a day. At the same time, Here The system that makes a splash with the wrong answers you can see, manually remove these bad contents one by one being cleaned. Google follows the posts on social media and immediately eliminates the nonsense answers produced. The infrastructure has still not been fully reliable. Because the system still recommends using glue in pizza. appeared. While other productive AI systems say this shouldn’t be done, Google still hasn’t learned the truth.

In its previous statement on this issue, Google admitted its mistakes and promised to make the system better. Google stated that many of the screenshots that emerged were fake., says it has put in place various measures to improve results. Among these “nonsense” include better detection mechanisms for queries, limiting the inclusion of humorous content in results, and restricting the use of user-generated content in misleading answers. Company bringing advanced protection systems for critical issues such as healthcare to ensure higher accuracy and reliabilitywill not shut down the system despite all the negative feedback and will continue to develop it. will.



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