3 ms·
Is AI doomed to always be a version behind the target framework/language? If a framework API is updated or if a new hardware feature is launched, it will take a
by devmunchies 4y ago
Is AI doomed to always be a version behind the target framework/language? If a framework API is updated or if a new hardware feature is launched, it will take a little time for the AI to catch-up right?
I imagine it’s not just about having API examples, you would want real codebases and use cases for training.
- wilsonnb3 4y agoDoesn’t google or someone have an ML model that lets you tweak something like stable diffusion with a small amount of specific pictures to train it on something not in its data set? Presumably the same type of thing could work for code.
- lostmsu 4y agoCan probably be accounted for by training AI to conditionally reverse lowering of the new constructs.