9 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…
Open data and generative AI: synergies and use cases
Artificial intelligence (AI) is revolutionising the way we create and consume content. From automating repetitive tasks to personalising experiences, AI offers tools that are changing the landscape of marketing, communication and creativity.
These artificial intelligences need to be trained wi…
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…
Importance of data profiling, types and tools
What is data profiling?
Data profiling is the set of activities and processes aimed at determining the metadata about a particular dataset. This process, considered as an indispensable technique during exploratory data analysis, includes the application of different statistics with the main objectiv…
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…
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…
Invisibilisation and algorithmic discrimination
Digital technology and algorithms have revolutionised the way we live, work and communicate. While promising efficiency, accuracy and convenience, these technologies can exacerbate prejudice and social inequalities exacerbate prejudice and social inequalities and create new forms of exclusion and cr…
Success stories of data exchange between organizations
The "Support center for data exchange”(Support Center for Data Sharing or SCDS in English) was born in 2019 as part of the European strategy to promote a common data ecosystem. It is a space to investigate and report on the practices of so-called data sharing, which they themselves define as “transa…
Digital skills in Europe: the use of ontologies to improve the search for candidates
The increasing concern of European authorities for the management of digital skills among the working population, especially young people, is a growing reality whose management does not seem to have an easy solution.
“The internet and digital technologies are transforming our world. But existi…
