▲ | traverseda 2 days ago | |||||||||||||||||||||||||
"The first time you've seen these objects" is a weird thing to say. One presumes that this is already in their training set, and that these models aren't storing a huge amount of data in their context, so what does that even mean? | ||||||||||||||||||||||||||
▲ | jayd16 2 days ago | parent | next [-] | |||||||||||||||||||||||||
It probably gives them confidence that they can accurately see a thing even though they don't know what that thing is. I could also imagine a lot of safety around leaving things outside of the current task alone so you might have to bend over backwards to get new objects worked on. | ||||||||||||||||||||||||||
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▲ | ygouzerh 2 days ago | parent | prev | next [-] | |||||||||||||||||||||||||
So from what I understand it actually means that they were for example never trained on a video of an apple. Maybe only on a video of bread, pineapple, chocolate. However, as it was trained using generic text data similarly to a normal LLM, it knows how an apple is supposed to look like. Similar than a kid that never saw a banana, but his parent described it to him. | ||||||||||||||||||||||||||
▲ | Symmetry 2 days ago | parent | prev [-] | |||||||||||||||||||||||||
It's normal to have a training set and a validation set and I interpreted that to mean that these items weren't in the training set. |