Huang

Solving AI Hallucinations: Jensen Huang of Nvidia Predicts Artificial General Intelligence Within 5 Years

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Artificial General Intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence. Huang, however, spent some time telling the press what he does think about the topic. He suggests that the tests could be a legal bar exam, logic tests, economic tests or perhaps the ability to pass a pre-med exam. AI hallucination is solvableIn Tuesday’s Q&A session, Huang was asked what to do about AI hallucinations – the tendency for some AIs to make up answers that sound plausible, but aren’t based in fact. He appeared visibly frustrated by the question, and suggested that hallucinations are solvable easily – by making sure that answers well-researched.

“Unexpected Revelations at GTC: A Recap of Nvidia’s Keynote”

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Nvidia chips give graphics-hungry gamers the tools they need to play games in higher resolution, with higher quality and higher frame rates. Anyone who came to the keynote expecting him to pull a Tim Cook, with a slick, audience-focused keynote, was bound to be disappointed. The company also introduced Nvidia NIM, a software platform aimed at simplifying the deployment of AI models. “Anything you can digitize: So long as there is some structure where we can apply some patterns, means we can learn the patterns,” Huang said. And here we are, in the generative AI revolution.”Catch up on Nvidia’s GTC 2024:Update: This post was updated to include new information and a video of the keynote.

“Nvidia CEO Pushes for ‘AI Factory’ Mindset in Corporate Sector: Shifting away from the Traditional Data Center Approach”

Gtc 2024 Jensen Huang Techcrunch Haje Kamps
“And the product was electricity.”He was comparing this — turning raw material into something else that have value — to the notion of data centers, which are purely money pits. “There’s a new Industrial Revolution happening in these [server] rooms: I call them AI factories,” Huang said. “The raw material that goes in is data and electricity. It’s very valuable.”The distinction makes a lot of sense in a world where Nvidia benefits tremendously if it can persuade companies to think of data centers and AI tools in a different way. “The last time, data centers went into your company’s cost centers and capital expenditure.

Unexpected Revelations at Nvidia’s GTC Keynote

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Nvidia chips give graphics-hungry gamers the tools they needed to play games in higher resolution, with higher quality and higher frame rates. Anyone who had come to the keynote expecting him to pull a Tim Cook, with a slick, audience-focused keynote, was bound to be disappointed. The company also introduced Nvidia NIM, a software platform aimed at simplifying the deployment of AI models. NIM leverages Nvidia’s hardware as a foundation and aims to accelerate companies’ AI initiatives by providing an ecosystem of AI-ready containers. “Anything you can digitize: So long as there is some structure where we can apply some patterns, means we can learn the patterns,” Huang said.