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This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & ...
When many business leaders hear “fractional,” they picture something incomplete or temporary—a stop-gap solution meant to patch over immediate issues. This misunderstanding, however ...
Leading artificial intelligence firms including OpenAI, Microsoft, and Meta are turning to a process called “distillation” in the global race to create AI models that are cheaper for consumers ...
IN his preface Prof. Young says that he wrote this book in the hope that the solution of the difficulties of fractional distillation might be rendered easier. He has written an eminently practical ...
We present Distill-Any-Depth, a new SOTA monocular depth estimation model trained with our proposed knowledge distillation algorithms. Models with various sizes are available in this repo. We ...
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