9 posts found
Explainable artificial intelligence (XAI): how open data can help understand algorithms
The increasing adoption of artificial intelligence (AI) systems in critical areas such as public administration, financial services or healthcare has brought the need for algorithmic transparency to the forefront. The complexity of AI models used to make decisions such as granting credit or making a…
The role of open data in the evolution of SLM and LLM: efficiency vs. power
Language models are at the epicentre of the technological paradigm shift that has been taking place in generative artificial intelligence (AI) over the last two years. From the tools with which we interact in natural language to generate text, images or videos and which we use to create creativ…
SLM, LLM, RAG and Fine-tuning: Pillars of Modern Generative AI
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…
The agreement to provide statistical data to researchers, in the context of the Data Governance Regulation
The European Union has devised a fundamental strategy to ensure accessible and reusable data for research, innovation and entrepreneurship. Strategic decisions have been made both in a regulatory and in a material sense to build spaces for data sharing and to foster the emergence of intermediar…
The most popular network analysis tools
Two decades ago they did not exist, but in recent years, social networks have become an important part of our lives. 29 million Spaniards actively use these services, according to data compiled by EPData. On average, users spend almost 2 hours a day connected to them.
This data makes social networks…
The most popular data visualization tools
Data is a fundamental pillar in business decision making. Before making any decision, it is necessary to analyze the situation to understand the context and envision possible alternatives. And for this it is necessary to present the data in a clear and understandable way.
Data analysis is useless if…
The most popular data analysis tools
Data analysis is a process that allows us to obtain knowledge of the underlying information of the data, with the purpose of drawing conclusions that allow us to make informed decisions. Without data analytics, companies and organizations are limited in examining their results and determining the di…
The most popular data conversion and data cleaning tools
When carrying out a data analysis project, it is usual to work with different sources, which in many cases include datasets with Heterogeneous formats and structures that do not always share the same quality. Therefore, one of the first phases in any data analysis process is known as data cleaning.…
The Juan March Foundation, a pioneer in the use of data science applied to culture
Data science is reaching all sectors, from agriculture to health, tourism or transport. And culture, as illustrated by the DataLab of Juan March Foundation, a knowledge laboratory that not only seeks to manage and disseminate the contents from the Library, but also extracts valuable information that…
