It draws on information from the web to provide fresh, high-quality responses. And today, we’re taking another step forward by opening it up to trusted testers ahead of making it more widely available to the public in the coming weeks.īard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models. We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short). That’s the journey we’ve been on with large language models. It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people.

In fact, our Transformer research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today. At the same time, advanced generative AI and large language models are capturing the imaginations of people around the world. Today, the scale of the largest AI computations is doubling every six months, far outpacing Moore’s Law. Since then we’ve continued to make investments in AI across the board, and Google AI and DeepMind are advancing the state of the art. That’s why we re-oriented the company around AI six years ago - and why we see it as the most important way we can deliver on our mission: to organize the world’s information and make it universally accessible and useful. And it opens up new opportunities that could significantly improve billions of lives.

Whether it’s helping doctors detect diseases earlier or enabling people to access information in their own language, AI helps people, businesses and communities unlock their potential.

AI is the most profound technology we are working on today.

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