Google search AI BARD

Google AI Bard, chatbot in the search bar

New experimental technology from Google. The name is very interesting “Bard” for a chat bot is somehow mysterious. This technological news from Google was the beginning of our research into this technology. Based on sources, we agree that the start of work will be very interesting to watch.

New ways of interacting with information, from language and images to video and audio, it will be very exciting and this despite the fact that the technology will start working as promised in the near future.

To deepen our understanding of information and more effectively turn it into useful knowledge – ok Google depth of knowledge … many questions.

What does Bard mean, let’s start with small questions.

We’re working on an experimental LaMDA-based conversational AI service we’re calling Bard.

They write AI can be useful for the synthesis of questions – the main thing is that again a lot of cats do not work out)

Well, to begin with, let’s delve a little into the essence of the names of the technologies that they will use.

LaMDA, which stands for Language Model for Dialogue Applications, is a family of conversational neural language models developed by Google.

An interesting fact is that LaMDA is trained both on documents and on dialogues consisting of 1.56 trillion words.

In February 2023, Google announced Bard, a conversational artificial intelligence chatbot powered by LaMDA, to counter the rise of OpenAI’s ChatGPT.

Source: https://en.wikipedia.org/wiki/LaMDA

DeepMind has created a neural network that learns how to play video games in a fashion similar to that of humans, as well as a Neural Turing machine, or a neural network that may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the human brain.

Source:  https://en.wikipedia.org/wiki/DeepMind

So what we see is the growth of future chat bots for various tasks and competition in AI between AI, but this competition is not only AI, but primarily technology companies.

Now we need to concentrate on the synthesis of questions to get deeper answers.