Artificial Intelligence solutions
AI in RegTech can now be used to analyze large volumes of data, identify the impacts of regulations on business and corporate processes, and support those who perform this activity manually, improving various aspects and reducing operational costs. Thus, many benefits can be obtained overall. Specifically, with Machine Learning solutions, it is possible to continuously…
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In this article, we will explore how to optimize LLM using RAG, whereas in previous articles “Large Language Models (LLM)“, we first explored Large Language Models (LLMs) and Prompt Engineering techniques, and later delved into Retrieval-Augmented Generation (RAG) in article “RAG: What It Is and How to Optimize LLMs” explaining its functioning and advantages. RAG…
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In the article “What are Large Language Models (LLM)” we introduced Large Language Models (LLM), explaining their operation and main applications. We also discussed Prompt Engineering techniques to optimize the performance of LLMs. In this article, we want to explain what RAG is and how to use it to optimize LLMs. Retrieval-Augmented Generation (RAG) The…
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Digital transformation is a complex process that involves the adoption of digital technologies in all aspects of an organization to improve performance and operations. Today, it is undoubtedly an aspect that should not be underestimated. According to the data from the ‘Digital in Italy 2024’ report by Anitec-Assinform, the digital market is expected to grow…
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Risk analysis is now a fundamental step for banks, insurance companies, and financial brokers due to the increasing complexity and rapid evolution of regulations in the financial context. It also represents a significant competitive advantage for these institutions, made possible by Artificial Intelligence (AI) techniques and Big Data Analytics. Compliance and risk management have become…
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Retrieval-Augmented Generation (RAG) is an innovative technique that combines the use of Large Language Models (LLM) with the ability to retrieve information from external sources to improve the quality and accuracy of the generated responses. In this series of articles, we will delve deeply into this methodology, starting with the fundamentals of LLMs and Prompt…
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Artificial Intelligence has revolutionized various sectors over the past few years, rapidly becoming an essential part of today’s business landscape. It offers a wide range of applications that can radically transform how companies operate, interact with customers, and differentiate themselves from competitors, thus creating their unique operational advantage. One of the paradigms that researchers are…
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Among the various branches of artificial intelligence, Natural Language Processing (NLP) plays an increasingly important role, especially in recent years. This discipline focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate text in a way similar to how humans do. Initially, before the advent of Machine Learning techniques,…
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In the landscape of modern industry, IoT Intelligence represents a fundamental approach for companies looking to enhance and manage their production processes. One of the most significant challenges for businesses is fully leveraging the potential of the Internet of Things (IoT) to gain tangible competitive advantages. This entails effectively integrating sensors, devices, and digital platforms…
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Computer vision, or artificial vision, is a field of AI that studies algorithms and techniques to enable computers to extract information from images, videos, and other types of data, in order to extract specific semantic information. In particular, computer vision finds a concrete and increasingly widespread application in predictive maintenance, where systems are monitored through…
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