Knowledge distillation optimizes AI models by transferring knowledge from larger, more complex models to smaller, more efficient ones, with variants including task-specific, feature, and response-based distillation suitable for edge computing and resource-limited environments.

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)

• AI models concept