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MLFlow + Hydra: A Framework for Experimentation with Python
In this article I share a experimentation framework I work with in my daily job. It uses MLFlow and Hydra to facilitate hypothesis testing.
Cristian Cardellino
May 23, 202410 min read


The Age of Digital Deception: The Dangers of Deep Fakes
Recent years have birthed a dangerous usage of the technology offered by neural networks, the deep fakes. We'll explore them in this article
Cristian Cardellino
Apr 27, 202413 min read


Generative Adversarial Networks (GANs): A Comprehensive Exploration
Let's explore Generative Adversarial Networks (GANs), one of the pioneers of Gen AI that was capable of producing photorealistic images.
Cristian Cardellino
Apr 10, 202411 min read


A Brief Introduction to Mixtures-of-Experts
In this article, we will explore the Mixture-of-Experts (MoE) and discuss the idea behind the gating mechanism used by the Sparse MoE.
Cristian Cardellino
Mar 26, 20248 min read


Variational Autoencoders: Intuitions and Math
In this article we will explore variational autoencoders in terms of the intuition behind them and the math needed to train them.
Cristian Cardellino
Mar 8, 20249 min read


A Brief Overview of Diffusion Models and Their Applications
In this article we will go through a brief review of diffusion models, how they work, what their usages are and what are the existing tools.
Cristian Cardellino
Feb 28, 20248 min read


Keeping Track of Experiments with MLFlow
This article introduces MLFlow and shows you how this great tool can help you boost your productivity in an experimentation environment.
Cristian Cardellino
Feb 16, 202411 min read


Beyond the Turing Test
Alan Turing, a British mathematician, logician, and computer scientist, played a seminal role in the development of artificial...

Claudio S. De Mutiis
Sep 17, 20238 min read
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