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The evolution of generative AI has been dizzying: from the first great language models that impressed us with their ability to reproduce human reading and writing, through the advanced RAG (Retrieval-Augmented Generation) techniques that quantitatively improved the quality of the responses provided and the emergence of intelligent agents, to an innovation that redefines our relationship with technology: Computer use. At the end of April 2020, just one month after the start of an unprecedented period of worldwide home confinement due to the SAR-Covid19 global pandemic, we spread from...

Did you know that data science skills are among the most in-demand skills in business? In this podcast, we are going to tell you how you can train yourself in this field, in a self-taught way. For this purpose, we will have two experts in data science: Juan Benavente, industrial and computer engineer with more than 12 years of experience in technological innovation and digital transformation. In addition, it has been training new professionals in technology schools, business schools and universities for years. Alejandro Alija, PhD in physics, data scientist and expert in digital...

In the fast-paced world of Generative Artificial Intelligence (AI), there are several concepts that have become fundamental to understanding and harnessing the potential of this technology. Today we focus on four: Small Language Models(SLM), Large Language Models(LLM), Retrieval Augmented Generation(RAG) and Fine-tuning. In this article, we will explore each of these terms, their interrelationships and how they are shaping the future of generative AI. Let us start at the beginning. Definitions Before diving into the details, it is important to understand briefly what each of these terms...

In recent months we have seen how the large language models (LLMs ) that enable Generative Artificial Intelligence (GenAI) applications have been improving in terms of accuracy and reliability.  RAG (Retrieval Augmented Generation) techniques have allowed us to use the full power of natural language communication (NLP) with machines to explore our own knowledge bases and extract processed information in the form of answers to our questions. In this article we take a closer look at RAG techniques in order to learn more about how they work and all the possibilities they...

Common Crawl plays a crucial role in the open data universe, providing free access to a vast collection of web data. This ever-growing archive allows researchers and developers to explore and analyse global trends, train artificial intelligence models and advance understanding of the broad digital landscape. What is Common Crawl? Common Crawl can be considered a technology and data platform that offers a large-scale web data archiving and crawling service. The type of data stored is particular, since these are complete web pages including their code, images and the rest of the resources...

The era of digitalisation in which we find ourselves has filled our daily lives with data products or data-driven products. In this post we discover what they are and show you one of the key data technologies to design and build this kind of products: GraphQL. Introduction Let's start at the beginning, what is a data product? A data product is a digital container (a piece of software) that includes data, metadata and certain functional logics (what and how I handle the data). The aim of such products is to facilitate users' interaction with a set of data. Some examples are: Sales...

Teaching computers to understand how humans speak and write is a long-standing challenge in the field of artificial intelligence, known as natural language processing (NLP). However, in the last two years or so, we have seen the fall of this old stronghold with the advent of large language models (LLMs) and conversational interfaces. In this post, we will try to explain one of the key techniques that makes it possible for these systems to respond relatively accurately to the questions we ask them.  Introduction In 2020, Patrick Lewis, a young PhD in the field of language modelling...

Talking about GPT-3 these days is not the most original topic in the world, we know it. The entire technology community is publishing examples, holding events and predicting the end of the world of language and content generation as we know it today. In this post, we ask ChatGPT to help us in programming an example of data visualisation with R from an open dataset available at datos.gob.es. Introduction Our previous post talked about Dall-e and GPT-3's ability to generate synthetic images from a description of what we want to generate in natural language. In this new post, we have done...

For years now we have been announcing that Artificial Intelligence is undergoing one of its most prolific, exciting periods. A time when applications and use cases begin to be seen in which human intelligence merges with artificial intelligence. Some occupations are changing forever. Journalists and writers now have software tools that can write for them. Content creators - images or video - can ask the machine to create for them just by saying a phrase. In this post we have taken a closer look at this last example. We have been able to test Dall-e 2 and the results have left us speechless...

In this post we have described step-by-step a data science exercise in which we try to train a deep learning model with a view to automatically classifying medical images of healthy and sick people. Diagnostic imaging has been around for many years in the hospitals of developed countries; however, there has always been a strong dependence on highly specialised personnel. From the technician who operates the instruments to the radiologist who interprets the images. With our current analytical capabilities, we are able to extract numerical measures such as volume,...