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This text initially appeared on Business Insider.
Recruiting AI expertise generally is a powerful feat for some corporations.
Aravind Srinivas, the founder and CEO of Perplexity, an AI-powered question-and-answer engine, described his interplay with a job candidate that reveals how onerous it may be to rent folks with generative AI abilities.
“I attempted to rent a really senior researcher from Meta, and you recognize what they mentioned? ‘Come again to me when you’ve got 10,000 H100 GPUs,'” Srinivas mentioned on a latest episode of the enterprise recommendation podcast “Invest Like the Best.”
H100 GPUs seek advice from Nvidia’s extremely coveted graphic-processing items that tech giants like Meta, OpenAI, and Google use of their knowledge facilities to energy and practice their AI chatbots.
“That will value billions and take 5 to 10 years to get from Nvidia,” Srinivas mentioned.
Restricted funds, mixed with a chip scarcity, means Perplexity, which powers its Q&A engine utilizing GPT-4, has discovered it powerful to seek out the expertise required to create a big language mannequin, Srinivas mentioned.
Srinivas mentioned it is tough to get staff to depart an organization the place they “have a terrific experimentation stack and current fashions to bootstrap from.”
“You need to provide such wonderful incentives and fast availability of computing. And we’re not speaking of small compute clusters right here,” he mentioned.
The CEO added that even when smaller companies like Perplexity are in a position to get Nvidia’s chips, they will proceed to fall behind as a result of AI is growing so shortly.
Srinivas mentioned AI expertise at main tech corporations “could have already made the next-generation mannequin.”
“They’re like, ‘Look, the world has modified, I am already within the subsequent technology,'” he added. “‘I am going to come when the following model of the mannequin is completed coaching. This time, you come again to me when you’ve got 20,000 H100s.'”
Srinivas and Meta did not instantly reply to a request for remark from Enterprise Insider earlier than publication.
There’s been a speedy uptick in curiosity in AI skills like machine studying and knowledge engineering since OpenAI launched ChatGPT in November 2022. Firms like Amazon, Netflix, and Meta have provided salaries as excessive as $900,000 a year to draw generative AI expertise, and non-tech companies throughout the schooling, healthcare, and authorized sectors have been seeking to fill roles with employees who know the best way to use AI.
Srinivas believes that employees want abilities past the flexibility to create AI fashions that generate fascinating outputs.
“You need to post-train them and handle the lengthy tail of points you get on serving a product,” the CEO mentioned.
Publish-training experience, like understanding the best way to cut back a chatbot’s factual inaccuracies, is a vital talent that staff from a variety of digital industries can study shortly, Srinivas mentioned.
Leaning into that talent set, he mentioned, will assist AI corporations like Perplexity stand out in a sector dominated by Large Tech.
“You have got large benefit to create plenty of worth,” he mentioned about post-training abilities. “And we’re targeted on that.”
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