woodglyst

3 ms·

1.
Entropy of a Large Language Model output(nikkin.dev)
161 points by woodglyst 2y ago|63 comments
2.
by woodglyst 2y ago
Thanks to your comment. I persuaded my friend who purchased an M3 Air 24GB recently and we got 200$ back (Remuneration for price drop valid for 14 days after the date of DELIVERY) where we live
3.
by woodglyst 2y ago
I was looking for something like Noteplan as well. The subscription model and the price was a deterrent to me and I went with Agenda [0] [0] https://agenda.com/
4.
by woodglyst 2y ago
This sounds a lot like the experimental project Jacquard [0] from Ink & Switch. [0] https://www.inkandswitch.com/jacquard/notebook/
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by woodglyst 2y ago
End to end encryption is not really a pledge. That is expected of companies like such. Nevertheless, their promise to not sell any data is interesting. If they don’t sell data (which cannot be sold anyways for an E2EE system) I wonder why t
6.
by woodglyst 2y ago
I got Anybox[0] with the lifetime subscription (40$) and have been happy with it (Only for Apple devices unfortunately) I can choose to automatically download a web archive when I bookmark. Also has a trial version. Can be a bit overwhelmin
7.
by woodglyst 2y ago
The statement that this can be implemented with a quantum algorithm is a bit ambiguous. If you look in detail, the problem is only formulated on the quantum computer while the optimization routine which essential solves the problem is left
8.
by woodglyst 2y ago
Still missing RSS feed
9.
by woodglyst 3y ago
The problem with this approach is determining the what k is for the k-means. But again, we could use the “elbow” technique to determine what’s the optimal k and then start grouping them together. I wonder if there are any automatic sophisti