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.
top of page
Search
Juan Manuel Ortiz de Zarate
Aug 279 min read
AI Researchers
AI Scientist automates research, generating ideas, running experiments, and writing papers, challenging AI's role in novel scientific discov
5 views
Juan Manuel Ortiz de Zarate
Aug 210 min read
Understanding what the ML models have learned
Models could spread bias and discrimination if you don't know what they have learned. Here we show a technique to prevent it.
10 views
Juan Manuel Ortiz de Zarate
Jul 1710 min read
Biases in LLMs
Explore the hidden biases in LLMs and their impact. The opinions of which sector of society are reflected in them?
21 views
Juan Manuel Ortiz de Zarate
May 249 min read
Retrieval Augmented Generation: Increasing knowledge of your LLM
Dive into the world of Retrieval-Augmented Generation! See how RAG transforms AI responses by blending retrieval with generation.
20 views
Juan Manuel Ortiz de Zarate
May 248 min read
The Mathematics of Language
Computers model text with vectors. Using Word2Vec, FastText, and Transformers, they understand and generate context-aware text. Learn how!
20 views
Cristian Cardellino
Apr 2713 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
11 views
Cristian Cardellino
Apr 1011 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.
9 views
Cristian Cardellino
Mar 268 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.
28 views
Cristian Cardellino
Mar 89 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.
27 views
Cristian Cardellino
Feb 288 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.
33 views
Cristian Cardellino
Feb 79 min read
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.
37 views
bottom of page