Pruned vs Full Model: Understanding the Trade-offs in Machine Learning Optimization
In the rapidly evolving landscape of machine learning and artificial intelligence, model efficiency has become as crucial as model accuracy. As neural networks grow increasingly complex and resource-intensive, developers and researchers face a fundamental decision: should they deploy a full model with all its parameters intact, or opt for a pruned model that sacrifices some … Read more