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…
This is the new FEMP Model Ordinance on Data Governance
The Spanish Federation of Municipalities and Provinces (FEMP) approved at the end of 2023 two model ordinances that address progress in two key areas: transparency and data governance. Both documents will not only improve the quality of processes, but also facilitate access, managemen…
The keys to the UNE data specifications
We live in a constantly evolving environment in which data is growing exponentially and is also a fundamental component of the digital economy. In this context, it is necessary to unlock its potential to maximize its value by creating opportunities for its reuse. However, it is important to bear in…
UNE 0081 Specification - Data Quality Assessment Guide
Today, data quality plays a key role in today's world, where information is a valuable asset. Ensuring that data is accurate, complete and reliable has become essential to the success of organisations, and guarantees the success of informed decision making.
Data quality has a direct impact not only…
Especificaciones UNE – Guía de Evaluación del Gobierno, Gestión y Gestión de la Calidad del Dato
Motivación
Hoy en día, en un entorno en constante cambio y en el que la generación de datos está creciendo de forma exponencial, es necesario establecer procesos comunes a lo largo del ciclo de vida de los activos de datos de toda organización. Disponer de datos bien gobernados, gestionados y con ni…
4 examples of harmonisation of datasets
In any project related to data, it is common to have different sources of information. Data is key for companies and public administrations, in decision making or as a basis for the implementation of projects, services or products. But if these data sources display information in a heterogeneous way…
