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This text initially appeared on Enterprise Insider.
Recruiting AI expertise could be 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 exhausting it may be to rent folks with generative AI expertise.
“I attempted to rent a really senior researcher from Meta, and what they stated? ‘Come again to me when you will have 10,000 H100 GPUs,'” Srinivas stated on a latest episode of the enterprise recommendation podcast “Make investments Just like the Finest.”
H100 GPUs consult with Nvidia’s extremely coveted graphic-processing models that tech giants like Meta, OpenAI, and Google use of their knowledge facilities to energy and prepare their AI chatbots.
“That might value 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 tough to get staff to go away an organization the place they “have a terrific experimentation stack and present fashions to bootstrap from.”
“You need to provide such superb incentives and quick 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’re going to 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 technology,'” he added. “‘I will come when the following model of the mannequin is completed coaching. This time, you come again to me when you will 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 expertise like machine studying and knowledge 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 trying to fill roles with staff who know the right way to use AI.
Srinivas believes that staff want expertise 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 figuring out the right way to scale back a chatbot’s factual inaccuracies, is a crucial ability that staff from a variety of digital industries can be taught shortly, Srinivas stated.
Leaning into that ability set, he stated, will assist AI firms like Perplexity stand out in a sector dominated by Massive Tech.
“You’ve got great benefit to create a variety of worth,” he stated about post-training expertise. “And we’re centered on that.”
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