Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: over 1 year ago

You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago

Looks a bit similar to Fellow.app (https://fellow.app), but I'm glad there's more choices/competition in this space (good for innovation and for users). - Source: Hacker News / almost 3 years ago

You're entering a pretty crowded market. Have you taken a look at Fellow? https://fellow.app/ Just trying to figure out what makes this product better than the hundreds out there. - Source: Hacker News / almost 3 years ago