10 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…
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…
The importance of the Telco sector in the deployment of a Digital Europe
Building Europe's digital infrastructure of tomorrow
As a global technology race unfolds, Europe is deploying the regulatory framework and investments needed to foster innovation and technological leadership in areas such as online platforms, artificial intelligence, data, cloud, quantum technologie…
The gender gap: inequality is also in the data
Today, 8 March is the day on which we commemorate women's struggle to achieve their full participation in society, as well as giving visibility to the current gender inequality and demanding global action for effective equality of rights in all areas.
However, the data seem to indicate that we still…
Edge computing and its importance in real-time data management
Autonomous vehicles, smart waste management services, trainers that monitor how much we exercise... We live in an increasingly digital and connected environment, with greater similarities to the future we dreamed of as children. It is the so-called Internet of Things (IoT), a network of physical obj…
Open data: the great allies to eradicate inequality
Is it possible to find in the data the necessary help to solve the real problems that our society faces? While it is true that data alone cannot be transformed into food for the most disadvantaged, nor can it make weapons disappear in conflict zones or inequalities in the world, they are very useful…
Open data as a tool to reduce inequalities
The public sector is not only a great provider of open data, but also one of its main users. Open data facilitates contact and direct communication between governments and citizens. This can drive more efficient and effective public policies.
Among other areas, open data has great potential to devel…
