tldr: work has started to make Hyper work as a backend in curl for HTTP.
curl and its data transfer core, libcurl, is all written in C. The language C is known and infamous for not being memory safe and for being easy to mess up and as a result accidentally cause security problems.
Source: rust in curl with hyper, an article by Daniel Stenberg.
This blog post covers some of my favorite settings for configuring the behavior of an ssh client (i.e. what is in the man pages for
ssh_config). Whether you are looking to add some additional security constraints, minimize failures, or prevent carpal tunnel,ssh_configis an often underutilized, yet powerful tool.
Source: SSH configuration: ssh_config, an article by Virag Mody.
font-sizeis the worst.It’s a CSS property probably everyone who writes CSS has used at some point. It’s pretty ubiquitous.
And it’s super complicated.
Source: Font-size: An Unexpectedly Complex CSS Property, an article by Manish Goregaokar.
The most common method underlying many of the deep learning model training pipelines is gradient descent. But vanilla gradient descent can encounter several problems, like getting stuck at local minima or the problems of exploding and vanishing gradients. To fix these problems several variants of the gradient descent have been devised over time. We will take a look at the most common ones in this article, and benchmark them for some optimization problems.
Source: Optimizers in Deep Learning, an article by Anuj Sable.