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Large language models. They are everywhere. They get some things amazingly right and other things very interestingly wrong. My nameis Marina Danilevsky. I am a Senior Research Scientist here at IBM Research. And I wantto tell you about a framework to help large language models be more accurate and more up todate: Retrieval-Augmented Generation, or RAG. Letamp;#39;s just talk about the amp;quot;Generationamp;quot; part for aminute. So forget the amp;quot;Retrieval-Augmentedamp;quot;. So thegeneration, this refers to large language models,or LLMs, that generate text in response to a user query, referred to as a prompt. Thesemodels can have some undesirable behavior. I want to tell you an anecdote to illustrate this. So my kids, they recently asked me this question: amp;quot;In our solar system, what planet has the mostmoons?amp;quot; And my response was, Oh, thatamp;#39;s really great that youamp;#39;re asking this question. I lovedspace when I was your age. Of course
