Tag: RAG models
Optimizing Retrieval-Augmented Generation Models in Low-Resource Settings
In the evolving landscape of natural language processing, retrieval augmented generation (RAG) models are increasingly prominent, especially for tasks requiring sophisticated, context-driven responses. Yet,...
