16 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…
The impact of open data along its value chain: Indicators and future directions
The transformative potential of open data initiatives is now widely recognised as they offer opportunities for fostering innovation, greater transparency and improved efficiency in many processes. However, reliable measurement of the real impact of these initiatives is difficult to obtain.
From this…
What is the value of open geographic data?
Geographic data allow us to learn about the world around us. From locating optimal travel routes to monitoring natural ecosystems, from urban planning and development to emergency management, geographic data has great potential to drive development and efficiency in multiple economic and social area…
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…
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…
Quantifying the value of data
There is a recurring question that has been around since the beginning of the open data movement, and as efforts and investments in data collection and publication have increased, it has resonated more and more strongly: What is the value of a dataset?
This is an extremely difficult question to answ…
Open data to fight against gender violence
Today, no one can deny that open data holds great economic power. The European Commission itself estimates that the turnover of open data in the EU27 could reach 334.2 billion in 2025, driven by its use in areas linked to disruptive technologies such as artificial intelligence, machine learning or l…
What are the advantages of participating in a hackathon or data-related competition like the Aporta Challenge?
Hackathons, contests or challenges related to data are a different way to test your ideas and/or knowledge, while acquiring new skills. Through this type of competition, solutions to real problems are sought, often in multidisciplinary teams that share diverse knowledge and points of view. In additi…
