Data efficiency in Neuro-Symbolic AI (NSAI) models encompasses data reduction (achieving high performance with reduced training data), data optimization (maximizing utility of labeled and unlabeled data, potentially via semi-supervised learning), and incremental adaptability (incorporating new data without complete retraining).

Authors

• Person: Not available Organization: arXiv
  Unlocking the Potential of Generative AI through Neuro-Symbolic ...

Sources

• Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv via serper

Referenced by nodes (1)

• Neuro-symbolic artificial intelligence concept