This is very interesting. There was also an article and discussion a couple of days ago on using diffusion models for edit/apply tasks at ~2k tps[1].
If I understand correctly, the ‘apply’ model takes the original code, an edit snippet, and produces a patch. If the original code has a lot of surrounding context (e.g., let’s say you pass it the entire file rather than trying to assess which bits are relevant in advance), are speed and/or performance materially affected (assuming the input code contains no duplication of the code to be amended)?
Does / how well does any of this generalise to non-code editing? Could I use Relace Apply to create patches for, e.g., plain English markdown documents? If Apply is not a good fit, is anyone aware of something suitable in the plain English space?
If I understand correctly, the ‘apply’ model takes the original code, an edit snippet, and produces a patch. If the original code has a lot of surrounding context (e.g., let’s say you pass it the entire file rather than trying to assess which bits are relevant in advance), are speed and/or performance materially affected (assuming the input code contains no duplication of the code to be amended)?
Does / how well does any of this generalise to non-code editing? Could I use Relace Apply to create patches for, e.g., plain English markdown documents? If Apply is not a good fit, is anyone aware of something suitable in the plain English space?
[1] https://news.ycombinator.com/item?id=44057820