Information retrieval systems like search engines and databases have revolutionized the digital age with their ability to manage and analyze vast amounts of data rapidly and efficiently, largely based on keywords and fields in data files. With increasing volumes of audio and video files, retrieving pertinent data could be challenging as it commonly involves manual…
Large language models (LLMs), used to solve natural language processing (NLP) tasks, have seen a significant increase in their size. This increase dramatically improves the model's performance, with larger models scoring better on tasks such as reading comprehension. However, these larger models require more computation and are more costly to deploy.
The role of larger models…
Retrieval Augmented Generation (RAG) is a cutting-edge method for constructing question answering systems, blending retrieval and foundation model capabilities. This unique approach first draws relevant data from a large body of text, using a foundation model to forge an answer from the collated information. Setting up an RAG system entails several elements such as a…
As corporations' use of Artificial Intelligence (AI) increases, so too does their risk of security breaches. Hackers could potentially manipulate AI into revealing crucial corporate or consumer data, a genuine concern for leaders of Fortune 500 companies developing chatbots and other AI applications. Lakera AI, a start-up in the field of GenAI security, addresses this…
In this article, co-authors Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler, discuss the implementation of generative Artificial Intelligence (AI) as a transformative force in business industries. They key focus is on the how it impacts the energy sector, specifically, Cepsa Química…
Data products are increasingly becoming indispensable for organizations looking to harvest insights from raw data. Positioned at the "Peak of Inflated Expectations" curve on Gartner's Hype Cycle for Data and Analytics in 2024, data products are a high-buzz topic, but their potential has not been fully realized yet. However, projections show that they are set…