Source: thenewstack.io
How AI Can Learn from Open Source Struggles
VANCOUVER, British Columbia — It’s imperative that open source values imbue the development of artificial intelligence, https://www.stellabiderman.com/, lead scientist at Booz Allen Hamilton said in a https://www.youtube.com/watch?v=MM2vyAkSsPo&t=615s at https://events.linuxfoundation.org/open-source-summit-north-america/, urging those attending to make that happen. “[I’m] kind of here as a supplicant to ask the broader open source community for help, because there’s a lot of issues that the AI community has been struggling with, that the open source committee has been working on for years, if not decades.
“So generative AI is this new and powerful class of AI models that differentiates itself from previous types of technologies because it is semantically controllable.
A lot of the people who maintain critical pieces of the open source ecosystem are undergraduate students or hobbyists.
There are a lot of issues that people with a variety of software development expertise —databases Kubernetes, Docker — can help with.
“So generative AI is this new and powerful class of AI models that differentiates itself from previous types of technologies because it is semantically controllable.
A lot of the people who maintain critical pieces of the open source ecosystem are undergraduate students or hobbyists.
There are a lot of issues that people with a variety of software development expertise —databases Kubernetes, Docker — can help with.
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