Meta’s AI push, driven by its Llama large language model, takes a page out of the open source playbook
Meta views Llama and its family of generative AI software as akin to Linux, the open source operating system that rivals Microsoft's Windows.
But at this year's event, VR developers were inundated with panel discussions about a topic that's quickly becoming less about tomorrow and more about the present: artificial intelligence. On Wall Street, Llama is hard to value and, for many investors, hard to understand. Because AI researchers are at a premium and the infrastructure required to build and run models requires massive costs, Meta is investing heavily to build Llama, the updated Llama 2 that wasJudge Chutkan will hear arguments over a proposed gag order in Trump's US election interference case
Influence brings its own advantages. If the world's leading AI researchers use Llama, Meta could have an easier time hiring skilled technologists who understand the company's approach to development. Facebook has a history of using open source projects, such as itscoding framework for machine learning apps, as a recruiting tool, luring technologists who want to work on cutting-edge software projects.
"Part of the reason we're not immediately using it is because the bigger interest for us is what the open source community is going to do with it," GoGwilt said. Meta said it took six months to train Llama 2, starting in January and ending in July, using a mix of"publicly available online data," which doesn'tfor its AI chips. Meta is one of its biggest customers. Jim Fan, a senior AI science at Nvidia, said in a"It gives them some price negotiating room," said Arjun Bansal, CEO of enterprise startup Log10 and a former AI chip executive."Nvidia wants to charge a lot and they can be like, 'Hey, we got our own thing.
Lambert said Meta could do itself a favor with the open source community and release more details about the specific, underlying datasets used to train Llama 2 so developers could better understand the training process. Open source adherents and privacy experts have pushed for more transparency into what kinds of data has been used to train LLMs, but companies have so far revealed few details.
"The general public or a member of congress might say, 'What has the GAO done in the area of nuclear safety?'" Ariga said, regarding the LLM project."Of course, we have done a lot of work, but that's sort of report-by-report basis; you can't do that kind of sort of topical search." Even among prospective customers that are unconcerned about reputational issues, Meta has to prove that it has superior LLM technology.
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