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…
User access to data from connected products and related services in the new European Data Regulation ( Data Act)
The adoption of the Regulation (EU) of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Law) is an important step forward in the regulation of the European Union to facilitate data accessibility. This is an initiative already…
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…
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…
How to contribute to improving digital education through the Aporta Challenge
The Aporta Challenge, in line with many other initiatives promoted by public administrations, could not be unaware of the great challenges we are facing in this year 2020. For this reason, its third edition, while fulfilling its usual objective of promoting the use of data and related technologies,…
Data Science, machine learning and deep learning
Data science is an interdisciplinary field that seeks to extract actuable knowledge from datasets, structured in databases or unstructured as texts, audios or videos. Thanks to the application of new techniques, data science is allowing for answering questions that are not easy to solve through othe…
The Aporta Challenge moves on to the 2nd phase after selecting the 10 best ideas of the 45 presented
The first phase of the Aporta Challenge 2017: The value of data for the Administration has come to an end. The competition "How to reuse open data to improve efficiency in public administration", promoted by the State Secretariat for the Information Society and Digital Agenda, the Public Body Red.es…
