I don't think I understood your point then. I matched it with the common "LLMs can only produce code that's similar to what they've seen before" argument.
Reading back, you said:
> I often see people wondering if the some coding task is performed well or not because of availability of code examples in the training data. It's way worse than that. It's overfitting to diffs it was trained on.
I'll be honest: I don't understand what you mean by "overfitting to diffs it was trained on" there.
Maybe I don't understand what "overfitting" means in this context?
(I'm afraid I didn't understand your cannon / fly swatter analogy either.)
Reading back, you said:
> I often see people wondering if the some coding task is performed well or not because of availability of code examples in the training data. It's way worse than that. It's overfitting to diffs it was trained on.
I'll be honest: I don't understand what you mean by "overfitting to diffs it was trained on" there.
Maybe I don't understand what "overfitting" means in this context?
(I'm afraid I didn't understand your cannon / fly swatter analogy either.)