11 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…
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…
How Artificial Intelligence and Open Data can re-imagine our cultural future
We are currently in the midst of an unprecedented race to master innovations in Artificial Intelligence. Over the past year, the star of the show has been Generative Artificial Intelligence (GenAI), i.e., that which is capable of generating original and creative content such as images, text or music…
Open data as a source of knowledge for generative artificial intelligence
Generative artificial intelligence refers to machine’s ability to generate original and creative content, such as images, text or music, from a set of input data. As far as text generation is concerned, these models have been accessible, in an experimental format, for some time, but began to generat…
X-ray of the national Tourism dataspace: Challenges and opportunities for the tourism sector.
The Spanish Hub of Gaia-X (Gaia-X Hub Spain), a non-profit association whose aim is to accelerate Europe's capacity in data sharing and digital sovereignty, seeks to create a community around data for different sectors of the economy, thus promoting an environment conducive to the creation of sector…
Artificial Intelligence applied to the identification and classification of diseases detected by radiodiagnosis
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 develo…
Gaia-X and European data spaces
The following infographic shows the context driving the development of data spaces, focusing on some related European initiatives such as Gaia-X and ISDA. For more in-depth content you can read the following articles:
The importance of deploying European Data Spaces
Gaia-X and the drive for the da…
The IDS-RAM reference architecture model and its role in data spaces
The data economy represents a huge business opportunity for companies of all sizes and sectors. According to European Commission estimates, the Data Economy will be worth €829 billion in 2025 for the 27 member states. But for the data economy to develop properly, structures are needed to facilitate…
The importance of deploying European Data Spaces
There is no doubt that data is a fundamental asset for companies. Properly processed, they generate great competitive advantages, both in decision-making and in the generation of new products and services, enabling technologies such as Artificial Intelligence. This situation has made many organisati…
The new life of data beyond reporting
Public administrations and international organisations are increasingly using new, more practical and creative approaches to problem solving, focusing on real data and how to better understand people's needs. This will enable them to propose solutions that meet those needs more directly and effecti…
