12 posts found
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…
Global principles of AI journalism
General ethical frameworks
The absence of a common, unified, ethical framework for the use of artificial intelligence in the world is only apparent and, in a sense, a myth. There are a multitude of supranational charters, manuals and sets of standards that set out principles of ethical use, although…
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,…
RAG - Retrieval Augmented Generation: The key that unlocks the door to precision language models
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 (L…
Data visualization: the best charts for representing comparisons
Data is a valuable source of knowledge for society. Public commitment to achieving data openness, public-private collaboration on data, and the development of applications with open data are actions that are part of the data economy, which seeks the innovative, ethical, and practical use of data to…
How to choose the right chart to visualise open data
A statistical graph is a visual representation designed to contain a series of data whose objective is to highlight a specific part of the reality. However, organising a set of data in an informative way is not an easy task, especially, if we want to capture the viewer’s attention and to present the…
Improving efficiency in the legal sector: LegalTech and data analytics
Digital transformation affects all sectors, from agriculture to tourism and education. Among its objectives is the optimization of processes, the improvement of the customer experience and even the promotion of new business models.
The legal sector is no exception, which is why in recent years…
We tested SpaCy: much more than a library for creating real natural language processing projects
Few abilities are as characteristic of human beings as language. According to the Aristotelian school, humans are rational animals who pursue knowledge for the mere fact of knowing. Without going into deep philosophical considerations that far exceed the purpose of this space for dissemination, we c…
Open data reuse in journalism: a window to new business models and communities
We recently reflected on the rise of data journalism in the media, a discipline that is becoming increasingly important. Through technologies and tools linked to data, this journalistic modality makes it possible to offer readers more documented, attractive and comprehensible information. To this en…
