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Recruiting AI talent can be a tough feat for some companies.
Aravind Srinivas, the founder and CEO of Perplexity, an AI-powered request-and-answer engine, described his interaction with a job candidate that presentations how demanding it can be to hire people with generative AI abilities.
“I tried to hire a in point of fact senior researcher from Meta, and what they acknowledged? ‘Near aid to me could well decide up to you’ve gotten 10,000 H100 GPUs,'” Srinivas acknowledged on a up to date episode of the commercial advice podcast “Make investments Love the Handiest.”
H100 GPUs refer to Nvidia’s highly coveted graphic-processing fashions that tech giants bask in Meta, OpenAI, and Google employ in their recordsdata centers to energy and bid their AI chatbots.
“That could well rate billions and rob five to 10 years to gather from Nvidia,” Srinivas acknowledged.
Restricted funds, mixed with a chip scarcity, means Perplexity, which powers its Q&A engine the employ of GPT-4, has chanced on it tough to decide up the talent required to cancel a neat language model, Srinivas acknowledged.
Srinivas acknowledged or no longer it is difficult to gather workers to leave a company the build they “decide up an unlimited experimentation stack and existing fashions to bootstrap from.”
“Which you can well presumably also decide up to offer such amazing incentives and instant availability of computing. And we’re no longer speaking of miniature compute clusters right here,” he acknowledged.
The CEO added that even though smaller companies bask in Perplexity are in a space to gather Nvidia’s chips, they’ll proceed to fall in the aid of on myth of AI is increasing so instant.
Srinivas acknowledged AI talent at most important tech companies “could well decide up already made the next-generation model.”
“They’re bask in, ‘Search for, the world has changed, I’m already in the next generation,'” he added. “‘I will advance when the next version of the model is done practising. This time, you advance aid to me could well decide up to you’ve gotten 20,000 H100s.'”
Srinivas and Meta did now not instantly acknowledge to a request for commentary from Industrial Insider earlier than publication.
There would possibly maybe be been a instant uptick in ardour in AI abilities bask in machine studying and recordsdata engineering since OpenAI launched ChatGPT in November 2022. Companies bask in Amazon, Netflix, and Meta decide up equipped salaries as high as $900,000 a one year to entice generative AI talent, and non-tech companies all the device thru the education, healthcare, and lawful sectors had been taking a seek to possess roles with workers who understand how to employ AI.
Srinivas believes that workers need abilities beyond the flexibility to cancel AI fashions that generate neat outputs.
“Which you can well presumably also decide up to post-bid them and address the long tail of disorders you gather on serving a product,” the CEO acknowledged.
Post-practising abilities, bask in incandescent how to decrease a chatbot’s lawful inaccuracies, is an important ability that workers from a extensive range of digital industries can be taught instant, Srinivas acknowledged.
Leaning into that ability situation, he acknowledged, will aid AI companies bask in Perplexity stand out in a sector dominated by Expansive Tech.
“Which you can well presumably also decide up neat advantage to cancel a form of rate,” he acknowledged about post-practising abilities. “And we are interested by that.”
