While we are promised record productivity gains in software engineering with the use of AI, practical studies show that the gain is rather small. In this article, we will analyze why.

You probably think that creating an LLM from scratch is complicated. In reality, I think there is a bit of gatekeeping and a lack of teaching method. Because creating an LLM isn't as hard as it sounds. In an effort to make this more accessible, I did everything I could to make LLMs easier to understand.

Before we move on to implementation, here's an introductory article to understand how text generation works. You will see that with enough explanations, it is not as complicated as it seems. If you have some basics in linear algebra of course.

Some people claim that the current AI revolution has made classical data science obsolete. In this article, you are going to find out what it really is with an objective test.

A few days ago, I wondered if I still knew how to code without AI. I was really surprised by what I discovered.

We live in a time where everyone uses a technology without really understanding it. In this article, you will find explanations that will help you not to get lost.

As you read this article, you will understand why despite the current hype, LLMs will never surpass humans. There is a very simple reason for this, and I will explain it to you.

Redis is a trendy tool. It is used in many modern apps. But is it really the simplest and most efficient solution for your use? Do you really need Redis in your app? This is what we will see in this article.

In this article, we will get to the heart of the matter. Read it, play around with the proposed code and the different parameters. And you'll become a pro at training neural networks.