Introduction: The Need for Transformer Optimization Transformer models have revolutionized natural language processing and are increasingly used in computer vision and other domains. However, their large size and computational demands pose significant challenges for production deployment. Optimizing these models is crucial for real-world applications, enabling faster inference, reduced resource consumption, and deployment on resource-constrained devices.
