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AI does take a ton of infrastructure. You need data collection and curation. Massive amounts of training hardware. And a large infrastructure to ensure you can
by dartos 3y ago
AI does take a ton of infrastructure.
You need data collection and curation.
Massive amounts of training hardware.
And a large infrastructure to ensure you can scale. No easy feat with the current GPU stack.
- hunter2_ 3y agoAre there not relatively tiny workloads that fall under the umbrella of AI? Or does the term itself inherently refer to intense workloads, like how the phrase "big data" refers to sets that can't be processed by typical means?
- tomoyoirl 3y agoTraining AIs is almost always done with massive data, as small data usually doesn’t have sufficient information content, statistically speaking, to build a good model from it. Certainly this is the case for the generative models.
- dartos 3y agoI think AI refers to large models. Smaller probabilistic models line linear regression, I’d call machine learning.
- Spooky23 3y agoIt takes a ton of infrastructure to maintain a sustained misinformation campaign. Yet cloud providers happily sell resources and APIs to unethical companies. They rightfully don’t insert themselves into most legal business matters, with exceptions.