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2024-06-03 08:55:01 -

Meet LLMs’ best friend, Retrieval-Augmented Generation
Language Learning Models (LLMs) have revolutionized the field of artificial intelligence, offering unprecedented capabilities in natural language understanding and generation. However, even the most advanced LLMs have their limitations. Enter Retrieval-Augmented Generation (RAG), a groundbreaking approach that enhances the performance of LLMs by combining them with real-time data retrieval...

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2024-05-20 06:50:46 -

Unpacking the Hype of Retrieval-Augmented Generation (RAG)
You may have seen the acronym ‘RAG’ floating around in relation to artificial intelligence. What the heck is RAG and why is everyone talking about it? RAG stands for Retrieval-Augmented Generation and combines a generative model with a retrieval system to enhance or augment (as the name suggests) AI responses with more accurate and current data. So this means there are two portions...

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2024-10-21 06:32:23 -

Graph RAG Takes the Lead: Exploring Its Structure and Advantages
Generative AI – a technology wonder of modern times – has revolutionized our ability to create and innovate. It also promises to have a profound impact on every facet of our lives. Beyond the seemingly magical powers of ChatGPT, Bard, MidJourney, and others, the emergence of what’s known as RAG (Retrieval Augmented Generation) has opened the possibility of augmenting Large...

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