14 articles
Artificial Intelligence is disrupting our businesses far beyond IT departments. In fact, we observe this transformation daily as it completely...
Invoices? AI handles them (and you can finally breathe easy, for real)! Processing invoices is every finance professional's nightmare...
In recent months, everyone has been talking about AI. But behind this word, what does it actually mean? Since I started training in AI development, I...
Tokens and orders of magnitude. Most top LLMs, with the notable exception of Gemini 1.5 and its incredible 2 million token context, cap out at...
This article is part of the scikit-learn series. It follows the article on cross-validation, which I recommend reading first before diving into this...
While the term AI is being used in an ever-growing number of contexts, and it's becoming increasingly difficult to define, I propose we study...
Before we begin, this article is a follow-up to the article on building models with scikit-learn. I'll be reusing many concepts that I explained...
Transfer learning is a deep learning technique that seeks to repurpose a neural network trained for one task to perform another. One of...
I'm currently teaching at the Strasbourg Chamber of Commerce on a topic that isn't directly related to AI, at least not on the surface: deploying applications in Dev...
In my previous article, I covered the fundamentals of Machine Learning, the building blocks of this discipline for creating AI models....
Following Google's announcement of Gemini this week, and the bad buzz around the semi-faked demo from the tech giant, I'm still incredibly excited about the dawn of the multimodal era in the world of foundation models.
When it comes to creating artificial intelligence, several approaches have been attempted to build an 'intelligent' algorithm....
I'm currently teaching at the Strasbourg Chamber of Commerce on a topic that isn't directly related to AI, at least not on the surface: deploying applications in...
Python has established itself as the go-to language for AI researchers, engineers, and practitioners. But what happens when you need to run your models natively in another language? The ONNX format solves that problem.