One of the biggest open problems in AI right now is how to solve sample efficiency. That is, how do you get models to quickly learn new tasks or skills from relatively small amounts of training data?.
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It goes beyond the title with direct discussion of like, yeah, it's, including: That is, how do you get models to quickly learn new tasks or skills from relatively small amounts of training data?.
Key takeaways
01That is, how do you get models to quickly learn new tasks or skills from relatively small amounts of training data?
02Our best models, on the other hand, often need tens of thousands of data points just to learn
03So today we're going to discuss what many top researchers believe is the most promising path to closing that gap, world models
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research-minded practitioners comparing model behavior