[Paper Reading] RAGAS: Automated Evaluation of Retrieval Augmented Generation
Last Updated on 2024-08-10 by Clay
Introduction
The year 2023 witnessed an explosion of generative AI technologies, with a myriad of applications emerging across various domains. In the field of Natural Language Processing (NLP), Large Language Models (LLMs) stand out as one of the most significant advancements. By training LLMs effectively and reducing hallucinations, they can significantly reduce human effort across a wide range of tasks.
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