Semi-Deep Ensembling LLMs allow models to learn which LLMs are most effective for specific task aspects, such as syntax or domain-specific knowledge, and adapt to changes in data or tasks.

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