We're back to "crud" and "shucks" now boomer
Ehh, among American academic mathematicians, including 0 is the fringe position. It's not a "debate," it's just a different convention. There are numerous ISO standards which would be highly unusual in American academia.
FWIW I was taught that the inclusion of 0 is a French tradition.
All cloud providers will support budget notifications. That doesn't do much good when you shoot past the budget in a short timespan. I set a Google cloud budget of $20/month and enabled a Tensorboard instance, which had no observable indication that it cost anything except the base cost of the VM, and got notified that I was $280 over budget the next day. Apparently there was an upfront $300/month/user fee for Tensorboard. (Several months later they changed the pricing model to $10 GiB/month with no user fee.)
Why would you need to set up a postgres db...? Unions are a fundamental set theoretic operation that are applicable to all set-like collections. You may as well say "an in memory hash map / list is absurdly inefficient compared to a relational db." Is it efficient, to you, to spin up a postgres instance to hold a dozen key value pairs?
"master" in version control has no corresponding "slave," but nevertheless the "master/slave" terminology is the reason why GitHub switched to "main" and everyone else followed suit
"Please sir, step down while there's still a chance to replace you with someone reasonable"?
Step 1, to play the heffer you will need to adjust your bones with a large mallet
Never built Firefox from source but Chromium takes way longer than the kernel for me. Like half an hour on a 5800x3D. Bit much for nightly updates.
They still look like raw chicken. That said, I love em.
People can complain about Sync if they have something to complain about.
Okay. I have something to complain about, too. It's people complaining too much about Sync.
There are some rules about the kind of map this applies to. One of them is "no countries inside other countries."
kogasa
joined 1 year ago
If you fine tune a LLM on math equations, odds are it won't actually learn how to reliably solve novel problems. Just the same as it won't become a subject matter expert on any topic, but it's a lot harder to write simple math that "looks, but is not, correct" than it is to waffle vaguely about a topic. The idea of a LLM creating a robust model of the semantics of the text it's trained on is, at face value, plausible; it just doesn't seem to actually happen in practice.