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Introduction Retrieval-Augmented Generation (RAG) could have been obligatory for the primary wave of enterprise AI, but it surely’s quickly evolving into something much larger. Over the past two years, organizations have realized that simply retrieving...

, but their frequency and accessibility have definitely grown quite a bit recently. Earlier, they were mostly reserved for predictive machine learning problems (think Kaggle), but now, the main focus, not less than for...

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Authors: Augusto Cerqua, Marco Letta, Gabriele Pinto learning (ML) has gained a central role in economics, the social sciences, and business decision-making. In the general public sector, ML is increasingly used for so-called prediction policy...

Computer vision is an enormous area for analyzing images and videos. While many individuals are inclined to think mostly about machine learning models once they hear computer vision, in point of fact, there are...

As an information scientist your job is to leverage data to unravel business problems and convey value, normally by constructing models. This typically involves running a series of experiments where numerous ideas are iterated...

” .” do you see in the image below? Most individuals see 4: white, green, and two different shades of pinkish-red. In point of fact, those two shades are the exact same; there are only...

Tabular Data! Recent advances in AI—starting from systems able to holding coherent conversations to those generating realistic video sequences—are largely attributable to artificial neural networks (ANNs). These achievements have been made possible by algorithmic...