EFFICIENT RESOURCE-CONSTRAINED COMPUTATION FOR DEEP LEARNING AND LARGE LANGUAGE MODELS WITH THEORETICAL GUARANTEES

<p dir="ltr">This thesis develops methods with theoretical and experimental validation for efficient resource-constrained computation in deep learning and large language models.</p>