Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks
Retrieval-Augmented Generation (RAG) models have become almost a cornerstone of open-domain question answering tasks; in which the quality of answers generated in the process, greatly relies on the effectiveness of retrieval mechanisms. In the realm of LLM, the last two years have seen tremendous progress in RAG archit...
Fazle Mohammed Tasfiq, Sabab Attin, Sheikh Md. Tahmid Hossain et al.
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