Knowledge distillation is an increasingly influential technique in deep learning that involves transferring the knowledge embedded in a large, complex “teacher” network to a smaller, more efficient ...

Businesses are increasingly aiming to scale AI, but they often encounter constraints such as infrastructure costs and computational demands. Although large language models (LLMs) offer great potential ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...