Isabelle Levent
@isabellelevent
Isabelle Levent
@isabellelevent
We find that models learn just as fast with many prompts that are intentionally irrelevant or even pathologically misleading as they do with instructively “good” prompts. Further, such patterns hold even for models as large as 175 billion parameters (Brown et al., 2020) as well as the recently proposed instruction-tuned models which are trained on
... See moreon metaphors for LLMs
With so much focus on creation, few systems consider revision. Revision—this is where the average writer gets the most outside help.

What’s difficult is to state our aesthetic values clearly enough to enable the program itself to make the evaluation at each generation.
Many methods for creating these models don't (and to be honest can't) attach the name, website and other details of every image and piece of text used to a create a new image in the metadata to every step of the process.
User-generated content platforms were a huge source for the image data. WordPress-hosted blogs on wp.com and wordpress.com represented 819k images together, or 6.8% of all images. Other photo, art, and blogging sites included 232k images from Smugmug, 146k from Blogspot, 121k images were from Flickr, 67k images from DeviantArt, 74k from Wikimedia,
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