Python

One might encounter various frustrating difficulties when attempting to numerically solve a difficult nonlinear and nonconvex optimal control problem. In this text I'll consider such a difficult problem, that of finding the shortest path...

As deep learning models grow larger and datasets expand, practitioners face an increasingly common bottleneck: GPU memory bandwidth. While cutting-edge hardware offers FP8 precision to speed up training and inference, most data scientists and...

(NLP) revolutionized how we interact with technology. Do you remember when chatbots first appeared and appeared like robots? Thankfully, that’s prior to now! Transformer models have waved their magic wand and reshaped NLP tasks....

concentrate on isolated tasks or easy prompt engineering. This approach allowed us to construct interesting applications from a single prompt, but we're beginning to hit a limit. Easy prompting falls short after we...

I used to be working on a script the opposite day, and it was driving me nuts. It worked, sure, however it was just… slow. Really slow. I had that feeling that this...

Introduction customer annoyance from wait times. Calls arrive randomly, so wait time X follows an Exponential distribution—most waits are short, just a few are painfully long. Now I’d argue that annoyance isn’t linear: a 10-minute...

: The Midnight Paradox Imagine this. You’re constructing a model to predict electricity demand or taxi pickups. So, you feed it time (corresponding to minutes) starting at midnight. Clean and easy. Right? Now your model sees...

Have you ever ever played a co-operative game or sport? Let’s consider one other example, but this time within the skilled world. Let’s say you're a part of a company whose primary technique of...