basedbertram

Fun experience, but the forced rotation after a certain number of cuts diminishes it.

There seems to be an issue with the messages sidebar snapping back to the top whenever a thread is selected. Pretty tedious to scroll down each time.

> A PDF of the book will be made available by August 15th.

On the sidebar:

> PDF coming soon

:(

So did you read through Strang and then read Axler, or did you try to work through both of them at the same time?

> This is, as a ML researcher, exactly where I'm at (in belief).

As an ML researcher myself, I'm glad to see other researchers maintaining a level-headed approach amidst the noise.

There's a newer version of [4]: http://nlp.seas.harvard.edu/annotated-transformer/

From looking at the video probably someone who has good working knowledge of PyTorch, familiarity with NLP fundamentals and transformers, and somewhat of a working understanding of how GPT works.

In my experience, you have to wade through too many unnecessary posts to find anything useful on 4chan.

> But note that YOLOv7 doesn't meant to be a successor of yolo family, 7 is just a magic and lucky number. Instead, YOLOv7 extend yolo into many other vision tasks, such as instance segmentation, one-stage keypoints detection etc..

Are you kidding me?

At the very least v4 has a paper attached to it. The authors of v5 have claimed that they'll release a paper at some point, but it has never materialized. It doesn't seem like v6 even makes that promise.

Yeah, pretty interesting! I had no idea there were all of these different offerings for the switches.

Oh wow, do people really bring mechanical keyboards to the office? I thought that was generally considered a no-no.

Holy cow, that's incredible

I remember hearing about his MIT Challenge. This answer on Quora from an MIT student highlights some of the issues with that challenge https://www.quora.com/How-do-MIT-students-and-professors-fee...

In the book does he reflect on any of this, or is it based on the MIT challenge at all?