Yoav Artzi: Training from scratch, not post-hoc RAG augmentation
yoavartzi · x · 2026-08-20
Yoav Artzi clarifies that the approach is not post-hoc RAG augmentation but involves training from scratch to externalize knowledge. It offers a more expressive retriever and better scalable data preprocessing compared to the first LMLM.
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