LLMs are quite powerful and can solve a wide range of problems! Employing them is easy but assessing their performance in production is still a hard problem.
An overconfident model can ruin your business faster than a low performer.

Read on for an approach. Live demo!!!

Data augmentation is a technique used to increase the diversity of data available for training models. Until recently, managing both mask and bounding box augmentations simultaneously with the same parameters was challenging in torchvision. Starting with v0.15 torchvision added more streamlined and flexible augmentation capabilities that are easier to use and more consistent with the…

Take a closer look at the step-by-step breakdown of Mask R-CNN to make it easier to understand how it works. This guide will help you navigate its implementation in torchvision, making the complex process more accessible and straightforward.

A scoring sheet is a strategic tool for quantifying actions against standards, aiding in making informed, rational decisions amidst complex, significant choices by bridging emotion and logic, and sometimes even serving as a negotiation aid for optimizing options.

Develop locally, run on remote machine. Easy! We will show how to go a step beyond, and develop, run, debug, on a docker, inside that remote machine, while using your favorite JetBrains IDE, PyCharm! Professional edition, but no problem if you are still in academia!

I went full Reviewer 2 with the help of ChatGPT. Of course, this was NOT sent to any journal. In real life, I am nothing close to an R2. Fun note: At one point, I went Meta R2, that is, ignoring the “author’s content” and just keep on bashing! In light gray are my inputs…