Understanding Rag Process
Patrick explains how the Rag process combines retrieval with language models, enhancing interpretability and updatability. By training a model to retrieve relevant information, it can adapt to new knowledge and provide better responses.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
Related Questions
How do you use Retrieval-Augmented Generation (RAG) with a Language Model?
How do you use Retrieval-Augmented Generation (RAG) with a Language Model as discussed in the episode Patrick Lewis on Retrieval-Augmented Generation - Weaviate Podcast #76! and the clip Atlas Paper Insights?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode Patrick Lewis on Retrieval-Augmented Generation - Weaviate Podcast #76! and the clip Unsupervised Retrieval Models?