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Diffusion Models: From Noise to Masterpiece
Explore how Diffusion Models are revolutionizing generative AI, from their mathematical foundations to applications in image and audio.
Juan Manuel Ortiz de Zarate
Mar 208 min read
3 views


AI, enhancer or threat?
AI is not just replacing jobs; it's empowering 10x professionals, and amplifying their impact in marketing, recruitment, and beyond.
Juan Manuel Ortiz de Zarate
Feb 139 min read
5 views


Saving AI from Itself: How to Prevent Model Collapse
Active Inheritance curates synthetic data to control LLM behavior, preventing AI model collapse and improving diversity, safety, and bias.
Juan Manuel Ortiz de Zarate
Feb 68 min read
12 views


DeepSeek, the game-changing model
DeepSeek R1 enhances AI reasoning with reinforcement learning and distillation, achieving top-tier performance while maintaining efficiency
Juan Manuel Ortiz de Zarate
Jan 319 min read
18 views


Measuring Intelligence: Key Benchmarks and Metrics for LLMs
A comprehensive review of essential benchmarks and metrics for evaluating Large Language Models, from accuracy to fairness and conversationa
Juan Manuel Ortiz de Zarate
Nov 8, 202410 min read
14 views


Orca: The New LLM Teacher
Orca 2: A smaller AI model that rivals larger ones by mastering task-specific reasoning, achieving high performance with less computation.
Juan Manuel Ortiz de Zarate
Oct 9, 20249 min read
26 views


Biases in LLMs
Explore the hidden biases in LLMs and their impact. The opinions of which sector of society are reflected in them?
Juan Manuel Ortiz de Zarate
Jul 17, 202410 min read
22 views


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
13 views

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
13 views


Modeling Data with Bayesian Statistics
In this article we will go through a quick overview of what Bayesian modeling is and how can we use probabilistic programming to leverage it
Cristian Cardellino
Mar 30, 20249 min read
13 views

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
33 views


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
38 views

Generative vs. Discriminative Models in Machine Learning
What are Generative Models? What are Discriminative Models? In this article we'll go through the fundamentals of each type of model.
Cristian Cardellino
Feb 7, 20249 min read
42 views
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