Google Cloud is working on limiting the hallucination effect on its generative AI with a feature called grounding that provides fresh results along with fact-checks, where it compares the results of the model with a well-known dataset to limit the hallucination effect.
Google Cloud, the enterprise division of Google, held its Born Digital Summit in Bengaluru on Wednesday. During the summit, Thomas Kurian, CEO of Google Cloud, said that the company has been working on AI since 2004 and is currently building a global infrastructure. India has two Google Cloud regions in Delhi and Mumbai respectively.
Google Cloud currently offers two major AI solutions: Vertex for developers and Duet for end users and businesses. The company manages roughly 34 per cent of the internet traffic globally. Thomas highlighted that Google Cloud can train an AI model twice as fast and at half the cost compared to the competition.
“Google Cloud model garden currently has over 100 models of different sizes and allows users to choose the model they want,” says Thomas Kurian. The garden includes dedicated AI models for text, chat, programming code, images, audio, and visuals. “We upgrade our models every two weeks and perform a generational upgrade every four months,” he added.
Currently, 24,000 developers at Google are using the Google Cloud AI-powered coding model, and more than 75 per cent of them accept almost all the instructions. Moderna, one of the creators of the COVID-19 vaccine, is currently using Duet AI to accelerate the simulation of medical drugs. This is achieved by converting medical experiments into mathematical models and then running them on large models at a much faster speed than conducting chemistry experiments.
He also highlighted how Gmail on smartphones is powered by a smaller AI model that runs locally and offers super-low latency. Similarly, larger models will have general skills, but they will be slower, as they have to evaluate hundreds of millions of parameters.
Through the Cortex AI platform, Google Cloud offers search and conversations, where a user can interact with a system using natural language to retrieve information or transact with it.
Google Cloud is also working on limiting the hallucination effect on its generative AI with a feature called grounding that provides fresh results along with fact-checks, where it compares the results of the model with a well-known dataset to limit the hallucination effect.
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