Large Language Models with retrieval-augmented architectures, such as GopherCite (Menick et al. 2022) and NeMo Guardrails (Rebedea et al.), have demonstrated the ability to produce more understandable and accountable responses, according to Lyu et al. (2023).

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 (1)

• Large Language Models concept