@gdb Quick question: have you changed the weighting toward recent conversation context? Right now, ChatGPT seems overly biased toward referencing older recent chats in its answers.
@SwayStar123 I think model performs well with this size. I added and image. At the feature space, it behaves almost same with SVG (2510.15301) which uses dinov3 for feature alignment. Congrats.
@massiviola01 Totally agree, but it works :) from my exps I can confirm that moes improve out of distribution accuracy at img classification.
For decades, all of novelty was coming from computer vision due to military funds but right now money goes to llms so novelties are.
@giffmana I did quick review on paper, so i must missed that part, thanks. The reason why I have focused this sample was it is actually correctly labeled at 2012 IN. Trying to push boundaries to %100, i think i should find a way to re-label misclassified samples.
Are we done with labeling imagenet @giffmana? Best of i can see (if i did not make silly mistake), still there are labeling errors at reassessed-imagenet validation set. Maybe both paper_towel and bakery could be accepted as label, but only paper_towel seems incorrect.
@Hesamation@1Punch_Girl Why would I memorize the number of heads? Explaning it with warp, tile or data transaction shows the understanding of how things happen at low level. Other is memorization.