Making an attempt to Recruit AI Expertise? Good Luck With That: New Report

This text initially appeared on Enterprise Insider.

Recruiting AI expertise is usually a robust feat for some firms.

Aravind Srinivas, the founder and CEO of Perplexity, an AI-powered question-and-answer engine, described his interplay with a job candidate that exhibits how laborious it may be to rent individuals with generative AI abilities.

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

H100 GPUs consult with Nvidia’s extremely coveted graphic-processing models that tech giants like Meta, OpenAI, and Google use of their information facilities to energy and prepare their AI chatbots.

“That might price billions and take 5 to 10 years to get from Nvidia,” Srinivas stated.

Restricted funds, mixed with a chip scarcity, means Perplexity, which powers its Q&A engine utilizing GPT-4, has discovered it robust to seek out the expertise required to create a big language mannequin, Srinivas stated.

Srinivas stated it is troublesome to get staff to go away an organization the place they “have an awesome experimentation stack and present 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 stated.

The CEO added that even when smaller corporations like Perplexity are capable of get Nvidia’s chips, they will proceed to fall behind as a result of AI is growing so shortly.

Srinivas stated AI expertise at main tech firms “could have already made the next-generation mannequin.”

“They’re like, ‘Look, the world has modified, I am already within the subsequent era,'” 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 could have 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 information engineering since OpenAI launched ChatGPT in November 2022. Firms like Amazon, Netflix, and Meta have supplied salaries as excessive as $900,000 a yr to draw generative AI expertise, and non-tech firms throughout the training, healthcare, and authorized sectors have been seeking to fill roles with staff who know tips on how to use AI.

Srinivas believes that staff want abilities past the power 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 stated.

Publish-training experience, like understanding tips on how to cut back a chatbot’s factual inaccuracies, is a vital talent that staff from a variety of digital industries can study shortly, Srinivas stated.

Leaning into that talent set, he stated, will assist AI firms like Perplexity stand out in a sector dominated by Massive Tech.

“You will have large benefit to create lots of worth,” he stated about post-training abilities. “And we’re centered on that.”


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