With an LLM integrated into your IDE like Cursor or Copilot, oftentimes the LLM autocompletes the correct code faster than I can think about what must be done next. I’ve been coding for 15 years.
I feel like text detection is much better covered by the various ML models discussed elsewhere in the comments. Maybe you can combine those with Live Text. I found Tesseract pretty ok for text detection as well but I don’t know if any of the models are good for vertical text.
Do you think Meta (Instagram) are pushing GIL removal and Cinder for no reason? They clearly have that scale and still benefit from faster single machine performance
Why?
On AWS you can rent a 24 TB, 500 core machine. Almost all problems are smaller than that so don’t need to scale to more than one machine.
Building applications that run on multiple machines is at least one order of magnitude more complex and thus slower (in development velocity), so needlessly building an application to work distributedly is just bad engineering.