Because I am addicted to solving puzzles.
Because I am addicted to solving puzzles.
Looks like this may be a known issue for some users.
Bluey.
Tuition is $40,000 a year. Price said about 75% of their students are on some form of financial aid.
I don’t really understand the science behind it, but in my experience I’ve had much more success using basic models for training.
Also, I’ve found that LoRAs are generally much easier and faster to train than embeddings. Is there a reason you’re going for an embedding over a LoRA?
Embeddings should generally be trained on base models to improve compatibility with models derived from the base. For SD 1.5, that means using either regular SD 1.5 or the NovelAI leak. You can sometimes get away with using more “basic” models that don’t have many merges, but that can be tough to gauge.
Writing is not hardware-intensive; a Chromebook would be much cheaper if that’s all she does. What else will she use this laptop for that makes you want a MacBook?
A couple dozen devices maybe. I don’t really need dedicated ranges, but it’s nice to know exactly which device I’m looking at just by the IP when reading logs.
I know they exist and vaguely what they do, but I don’t know how to set them up. What’s their advantage over simple DHCP reservations for a small client list?
I like the range for new devices- hadn’t thought of that!
Are you a bot or did you just not realize that this is programmer_humor?
Every job will have some sort of crunch time. Even just staying in a programming position, the definition of “crunch time” will vary wildly. I’m lucky enough that “crunch time” just means that I set aside all my other tasks until I fix whatever is on fire, but I still get to go home on time unless I really want the overtime pay.
I don’t envy positions with forced 80-hour workweek crunch times. That’s a sign of bad management.