
bytes and nuggets @pytorch https://xitter.cf/t.co/gWVJmW6wbH
Joined December 2023
- Tweets680
- Following302
- Followers1.7K
- Likes667
So instead of wasting your precious gpus on exploring this space you can stand on the shoulder of giants. The cul de sacs tend to be found and marked with big red Xs. BUTTTTT there are in fact better ways for a lot of things, so take a beat do some math, and train some models
Numerics are hard fought. A major value of using `abstractions` or libraries is that you get to build of the failures and success of the collective. PT eager has been essential, fuzz-tested by its N users for many moons now.
I find it kinda funny how all these kernel verifiers are goaling on bitwise to PyTorch Eager. This pre-supposes that PT eager is the gold standard of numerics. While in some sense this is true, but in many instances it isn't
Github Notifications are broken. Whenever I want to build something custom - I thrash my own API rate limits. Like please let me pay 5 bucks a month to get higher rates to help let me manage my notifications for OSS projects @github
As someone who tried muse earlier on it is remarkable how much better it has gotten and actual value I'm getting out of it
I was lucky enough to have gotten the OSS pro plan from OAI and sadge it got yanked right before dev day with no notice :(. It was truly great though I built a lot of features for PyTorch using those tokens
