Retrieval-Augmented Generation (RAG) Language Models, including REALM (Guu et al. 2020), LAMA (Petroni et al. 2019), ISEEQ (Gaur et al. 2022), and RAG (Lewis et al. 2020), integrate a generator with a dense passage retriever and access to indexed data sources to add a layer of supervision to model outputs.

Authors

• Person: Not available Organization: arXiv
  Building Trustworthy NeuroSymbolic AI Systems - arXiv

Sources

• Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv via serper

Referenced by nodes (3)

• Large Language Models concept
• Retrieval-Augmented Generation (RAG) concept
• LLaMA concept