13 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…
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…
From data strategy to data governance system (part 1)
More and more organisations are deciding to govern their data to ensure that it is relevant, adequate and sufficient for its intended uses, i.e. that it has a certain organisational value.
Although the scenarios are often very diverse, a close look at needs and intentions reveals that many of these…
From data strategy to data governance system (part 2)
In the first part of this article, the concept of data strategy was introduced as the organisation's effort to put the necessary data at the service of its business strategy. In this second part, we will explore some aspects related to the materialisation of such a strategy as part of the design or…
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…
The gender gap: inequality is also in the data
Today, 8 March is the day on which we commemorate women's struggle to achieve their full participation in society, as well as giving visibility to the current gender inequality and demanding global action for effective equality of rights in all areas.
However, the data seem to indicate that we still…
Open data: the great allies to eradicate inequality
Is it possible to find in the data the necessary help to solve the real problems that our society faces? While it is true that data alone cannot be transformed into food for the most disadvantaged, nor can it make weapons disappear in conflict zones or inequalities in the world, they are very useful…
