Anshumann Anshumann

Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs

Knowledge distillation can be a cost-effective technique to distill knowledge in Large Language Models, if the teacher output logits can be pre-computed and cached. However, successfully applying this to pre-training remains largely unexplored. In this work, we prove that naive approaches for sparse…