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…
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…
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…
The benefits of open data in the agriculture and forestry sector: the case of Fruktia and Arbaria
As in other industries, digital transformation is helping to change the way the agriculture and forestry sector operates. Combining technologies such as geolocation or artificial intelligence and using open datasets to develop new precision tools is transforming agriculture into an increasingly tech…
Different approaches to identifying high-value data
Since the publication of Directive (EU) 2019/1024 on open data and re-use of public sector information, the European Commission is undertaking a number of actions to develop the concept of high-value data that this directive introduced as an important novelty in June 2019.
We recall that high-value…
Copernicus, the European Earth Observation Program
Geospatial data is one of the data categories most demanded by organizations, companies and citizens. The new European regulation on open data and reuse of public sector information considers them as high-value data, due to its ability to boost innovative services and generate socio-economic benefit…
The agroclimatic information system for irrigation (SiAR)
The data generated by the agroclimatic stations maintained by the different public administrations and integrated into the Agroclimatic Information System for Irrigation (SiAR) generate valuable open data sets for the agricultural sector. These data, combined with other open data sets, such as weath…
The transversality of open climate data
Humans have been interested in weather prediction for several millennia. This interest goes back at least until the Babylonian civilization, when meteorological predictions were already made based on astrology and the clouds patterns. However, it was in the early twentieth century when decisive prog…
