3 ms·

Oh definitely, I was giving it some softballs. Maybe I am also giving too much credit to what fine tuning can achieve. But in a manufacturing environment, if

Oh definitely, I was giving it some softballs. Maybe I am also giving too much credit to what fine tuning can achieve. But in a manufacturing environment, if one labelled wrench sizes with different colors, then things like noticing wrench size would be easier. Also, I imagined that the camera would of known (same) geometry during training and inference in a Boeing implementation. I also wonder if multimodal LLMs are blowing my mind unnecessarily. It really feels like a huge leap to me though.

plagiarist 3y ago
They are a pretty huge leap! I just think for manufacturing and assembly where it is critical to get specific values right we cannot rely on neural nets in their current form. I think there are digital wrenches that will record the torque they applied, you don't need to mess around with colors. But at that point, it's sort of like, why bother teaching the AI to notice if people are doing it right, stick a camera on the wrench and QR sticker on the bolt. Make a more formal verification process that can be guaranteed to match specifications.