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Attempting to Recruit AI Expertise? Good Luck With That: New Report

This text initially appeared on Enterprise Insider.

Recruiting AI expertise could be 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 individuals with generative AI abilities.

“I attempted to rent a really senior researcher from Meta, and you realize what they mentioned? ‘Come again to me when you have got 10,000 H100 GPUs,'” Srinivas mentioned on a latest episode of the enterprise recommendation podcast “Make investments Just like the Greatest.”

H100 GPUs discuss with 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 might price 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 workers to go away an organization the place they “have a terrific experimentation stack and present fashions to bootstrap from.”

“You need to supply 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 capable of get Nvidia’s chips, they’re going to proceed to fall behind as a result of AI is creating so rapidly.

Srinivas mentioned AI expertise at main tech corporations “may 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 subsequent model of the mannequin is completed coaching. This time, you come again to me when you have 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 fast uptick in curiosity in AI abilities like machine studying and knowledge engineering since OpenAI launched ChatGPT in November 2022. Corporations like Amazon, Netflix, and Meta have supplied salaries as excessive as $900,000 a yr to draw generative AI expertise, and non-tech corporations throughout the training, healthcare, and authorized sectors have been seeking to fill roles with staff who know easy methods to use AI.

Srinivas believes that staff want abilities past the flexibility to create AI fashions that generate fascinating outputs.

“You need to post-train them and tackle the lengthy tail of points you get on serving a product,” the CEO mentioned.

Put up-training experience, like realizing easy methods to scale back a chatbot’s factual inaccuracies, is a crucial ability that workers from a variety of digital industries can study rapidly, Srinivas mentioned.

Leaning into that ability set, he mentioned, will assist AI corporations like Perplexity stand out in a sector dominated by Large Tech.

“You’ve super benefit to create plenty of worth,” he mentioned about post-training abilities. “And we’re targeted on that.”

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