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5min chapter
Alex Tamkin on Self-Supervised Learning and Large Language Models
The Gradient: Perspectives on AI
The Complexity of Large Language Models
I think there's a lot of questions that are coming up around, what's going to happen when these models are deployed in sort of real world settings. And I think we see this really clearly for GBD3, like in the example I was mentioning, but you can imagine seeing this for a whole wide range of models,. Maybe trained for other domains, or maybe, you know, in the future if these models sort of advance and they're being sort of deployed in different settings, maybe run into issues there.
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