At the end of our first article on the AI Evals mini series we left a small elephant in the room: fuzzy matching works great…
fullstack thoughts
Carlos Rodrigues Posts
If you are a software engineer stepping into the world of LLMs and AI engineering, you have likely encountered this or a very similar frustrating…
Today we’ll deviate a bit from our applied AI and machine learning track to talk about agentic workloads. It’s on everyone’s minds and everyone has…
At the end of our One Hot encoding article, we left a small elephant in the room: what happens when your categorical column has 50…
If you have spent any time in the machine learning space, you have inevitably scratched your head around the concept of backpropagation. It is the…
One of the things that may be bothering you if you followed #1 and #2 is the fact that we never talked about what happens…
If you’ve been following along with this series, you’ll know that in the first post we built a simple ML model to predict diabetes. We kept things…
Have you ever started your morning with an angry email from a user complaining that a key page on your app is throwing an error?…
Everybody uses AI for almost everything these days. If you’ve been paying attention to the backend space recently, you’ve probably heard of RAG (Retrieval-Augmented Generation)…
Everybody uses AI for almost everything these days. From helping shaping ideas to the recommendation systems that tells us which movie to watch next, it’s almost omnipresent. But for many of us (myself included), what happens “under the hood” remains a complete mystery, seeming, at times, almost magical.
This post is the first in the AI for Dummies series, where we’ll try to demystify AI, by learning what it is and how it works, starting from simple use cases and concepts and evolving into more complex and real-world scenarios. This post also serves as an introduction to a few key tools, such as Tensorflow and Keras, as well as a brief introduction to important concepts in this domain.