29 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…
Guide for implementing a data governance programme UNE 0085
Data governance is crucial for the digital transformation of organisations. It is developed through various axes within the organisation, forming an integral part of the organisational digital transformation plan. In a world where organisations need to constantly reinvent themselves and look f…
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…
RAG techniques: how they work and examples of use cases
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 n…
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…
GRAPH QL. Your best ally for the creation of data products.
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 beginni…
UNE specifications as a complement to ISO standards for the governance, management and quality of Information Systems and Technologies
Standardisation is essential to improve efficiency and interoperability in governance and data management. The adoption of standards provides a common framework for organising, exchanging and interpreting data, facilitating collaboration and ensuring data consistency and quality. The ISO standards,…
How Artificial Intelligence and Open Data can re-imagine the way we design our cities
After months of new developments, the pace of advances in artificial intelligence does not seem to be slowing down - quite the contrary. A few weeks ago, when reviewing the latest developments in this field on the occasion of the 2023 deadline, video generation from text instructions was consid…
Generative AI for clearer communication: how it helps evaluate, adjust and clarify language
The alignment of artificial intelligence is a term established since the 1960s, according to which we orient the goals of intelligent systems in the exact direction of human values. The advent of generative models has brought this concept of alignment back into fashion, which becomes more urgent the…
