4 ms·
I’ve heard such claims for a long time, I can likewise create a classifier out of a simple dice role. It doesn’t say anything about how good it is. Most softw
by lumost 4y ago
I’ve heard such claims for a long time, I can likewise create a classifier out of a simple dice role. It doesn’t say anything about how good it is.
Most software applications have low tolerance for error rates, the ones that do have big money being spent on ensuring their accuracy is better than everybody else’s.
So while you can make a classifier out of anything in Y time, that doesn’t say anything about whether it’s of any practical use.
- minimaxir 4y agoNo, CLIP is indeed that good. The robustness of its embeddings is the entire reason why VQGAN+CLIP works and can stablely generate images close to the text prompt.
- lumost 4y agoI'm sure it's better than a dice role, but does it beat a modern classifier trained on the domain specific data? EDIT: I raise this issue as over-promises are the death nell for software. Overpromising capability leads to disappointment.
- minimaxir 4y agoSee the zero-shot performance of CLIP: https://openai.com/blog/clip/ https://openai.com/blog/clip/ It's definitely better performance than what you'd get working in 5 minutes from more conventional approaches.
- ShamelessC 4y agoIt tends to, yes. I suggest reading the paper as they discuss this very thing in detail.