Navigating Smaller Language Models

This article explores the potential of compact language models, which are smaller versions of large language models that offer scalability, accessibility, and efficiency to developers and businesses. These models use techniques such as knowledge distillation, quantization, and pruning to achieve high performance with fewer computational resources.