WeMoveOn

4 ms·

1.
by WeMoveOn 1y ago
I just got it a few mins ago
2.
by WeMoveOn 3y ago
but is switch c even usable? iirc the training set was nowhere near enough for a model of that size to be coherent in a conversation
3.
by WeMoveOn 3y ago
the different formats you can export data out in is pretty great, especially the export sql option.
4.
by WeMoveOn 3y ago
> much of the work is repetitive, but it comes with its edge cases for the repetitive stuff, just use copilot embedded in whatever editor you use. the edge cases are tricky, to actually avoid these the model would need an understanding o
5.
by WeMoveOn 3y ago
can someone explain how his costs went to $1? he essentially just replaced GPT4 with a tuned variant of mixtral 8x7b which requires multiple GPUs to run. even if he quantized the model himself it would still need to pay for the hardware and
6.
by WeMoveOn 3y ago
his username checks out
7.
by WeMoveOn 3y ago
Did you now?? I'll have you know that I wrote the full word2vec paper on a roll of shabby two-ply tissue paper during my time in a Taco Bell stall. Sadly, it was then used to mop up my dietary regrets and was subsequently lost to foul
8.
by WeMoveOn 3y ago
Seriously, his explanations on topics go well beyond the lectures some of my professors provide and could probably benefit a lot of students if given as a resource... If only academia wasn't so distrustful of those outside their circle
9.
by WeMoveOn 3y ago
This guy got me through my engineering degree
10.
by WeMoveOn 3y ago
How did you come up with 40b for the memory? specifically, why 0.7 * total params?
11.
by WeMoveOn 3y ago
lit
12.
by WeMoveOn 3y ago
Bible study just got more lit
13.
by WeMoveOn 3y ago
Eh its more so that the entire ecosystem is built on CUDA. I don't think most developers would care or even notice if you swapped out CUDA for something that'll work seamlessly with the existing Python libraries. Sadly such an alt