4 ms·

Is this really the biggest problem that needs to be solved in AI?

• robertlagrant 4y ago
  Quite the non sequitur you have there.
• belval 4y ago
  Not sure I understand that question, is versioning the biggest problem no, but it costs nothing to keep semver and prevent production headaches later. If you meant inference speed then yeah it's a very big problem so it's good that they are addressing it.
  • mi_lk 4y ago
    what exact production headaches you are expecting by bump the number from 1.13 -> 2.0, while all existing codes keep working as before? And how is it different from bumping 1.13 to 1.14, even if they named it 1.14?
    • belval 4y ago
      The soft kind. Major versions are deeply ingrained as "possible backward-compatibility issues" in most engineers' brain. If you handle model development, evaluation and deployment yourself than sure you won't have any issues, but in a bigger organization you have to get people to switch and that version number will mean that everyone will ask the same "hang on this is a major version change?!" question every step of the way.
• whimsicalism 4y ago
  No? What would have given you that impression? Oh, I see. You were trying to be dismissive.