Google LaMDA: You can talk with tables, chairs, and doors, how? Learn here

Google LaMDA You can talk with tables, chairs, and doors, how Learn hereGoogle LaMDA You can talk with tables, chairs, and doors, how Learn here
Google LaMDA You can talk with tables, chairs, and doors, how Learn here

Google LaMDA: Google has made many big announcements at its annual developer conference. During this time the company introduced Artificial Intelligence based LaMDA model. This is the experimental model under which a person can interact with any of his objects.

In this event, the company showed a demonstration. During this, the conversation with Pluto was shown. Google CEO Sundar Pichai said that it is very interesting to see how LaMDA can start a conversation on any topic. According to Pichai, it can also do sensible and interesting things. China Steps Up Efforts To Join Trade Pact Created To Exclude It

However, LaMDA is still in the initial stage and makes mistakes. The company has also shown a demonstration video. In this video, LaMDA answers questions posed by Human as Pluto. In the second video, LaMDA answers Human’s questions as a paper plane.

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Actually, through this model, the company wants that human beings can communicate with any object or any gadgets. For example, in the coming time it is possible that through this technology you can ask through your door who came in the day. The answer to the door will not be like a machine, but it will have a human touch and will be able to give you complete information in an interesting way.

Significantly, Google has been working on Artificial Intelligence for quite some time. A few years ago, the company announced an artificial intelligence based call system. The company said that through this, the Google Assistant will call you and book a table in the restaurants or take an appointment book. But the truth is that this feature is also in a few places and its use is not much.

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That is, many times Google tells about the features coming in its event in a very revolutionary way, but even after many years, it does not show any special use. Similarly, it will be interesting to see about LaMDA how many years this feature is mainstreamed.

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