The sequential paradigm in Neuro-Symbolic AI (NSAI) architectures relies on neural encodings of symbolic data, such as text or structured information, to perform complex transformations before outputting results in symbolic form; this includes techniques like Retrieval-Augmented Generation (RAG), GraphRAG, and Seq2Seq models like GPT.

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 (3)

• Neuro-symbolic artificial intelligence concept
• Retrieval-Augmented Generation (RAG) concept
• GPT concept