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hey everyone welcome to the global NLP lab a place where we discuss the latest in natural language processing in recent years large language models llms like GPT 3 and codex have seen tremendous success in various natural language processing tasks however they are not able to precisely recall all the knowledge stored in the training Corpus to address this issue researchers have proposed retrieval augmented language models Realms which can retrieve external knowledge to make better predictions today were taking a look at an interesting paper that proposes a novel realm method that is very simple and applicable to all llm stay until the end to learn about how this method performs in comparison to base llm that dont use any retrieval mechanism so lets get started previous ROM approaches depicted on the top of this figure rely on a frozen retriever model which is used to tune a trainable language model this approach has several limitations most notably it is prohibitive to tune a large