In the process of building an agentic AI system, I will first build the "agentic" and "system" part, touching very little on AI. There are several reasons for this. Auditability is one of them. I want to know exactly what is happening and why. I think AI is mostly unnecessary for both (1) action-taking and (2) decision-making for me at this point.
By Alexander Van de Kleut. But you may also want to read the VAE by Reza Kalantar.
Motivation
From Forward Data Science.
First of all let us build some ground rules. We will define few things we need to know like the back of our hands to understand KL divergence.
Recently wrote this utility, to resize and scale a python image at the center. This way, I don't have to worry about how my images are being fed into an AI pipeline, if they all get scaled and cropped the same.
Additionally, while previously I used bash to rename files in a folder to sequential names such as 1.jpg , the current implementation ignores filenames, which saves me time when massaging the data.
