Artificial Intelligence solutions
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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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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When talking about Generative AI, what it is and what are the main tools to implement it in one’s own business are the first questions that naturally arise, considering how AI solutions are currently helping to improve many aspects within the realm of businesses. Generative artificial intelligence (Generative AI) represents a branch of artificial intelligence…
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Artificial Intelligence is a tool which can be used in a variety of industry sectors to optimize processes, but also for monitoring and to gather useful data to predict outcomes. In these hard days caused by the epidemic outbreak, AI is providing substantial help to the Health sector to effectively fight COVID-19 and the workload…
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Artificial Intelligence and Big Data Analytics are useful to analyze and predict the impact of the COVID-19 virus. The whole world is paying a high price both in terms of human lifes and social distancing needed to slow the epidemic peak. In this scenario public institutions, companies and independent researchers are involved in the fight…
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