Tag: Teacher-Student Model

  • August 9, 2024 Knowledge Distillation Techniques for Optimizing Neural Networks & LLMs Knowledge Distillation shrinks massive neural networks by transferring their ‘know-how’ from a large, complex teacher model to a smaller, more efficient student model, retaining high performance with fewer resources. This technique enables smaller models to master the capabilities of giants like GPT-4, making powerful AI accessible in resource-constrained environments without sacrificing accuracy.