Danyal Aftab

Optimizing Few-Shot Learning in Pruned Large Language Models with Task-Specific Prompts

Few-shot learning enables large language models to efficiently perform tasks given only a limited number of labeled examples. However, training these models entirely from scratch requires substantial computational resources, making it challenging for many organizations to fully leverage their potential. This thesis exp...