Category: long-context
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Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models
Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models In this article we will explore why 128K tokens and more models can’t fully replace using RAG. Continue reading on Towards Data Science » Jérôme DIAZ Go to original source