Commercial ML

Commercial machine learning (ML) focuses on the practical deployment and application of ML models, addressing challenges in efficiency, customization, and usability. Current research emphasizes optimizing model deployment on resource-constrained devices (e.g., through model pruning), tailoring pre-trained models to specific application needs, and improving the learnability and usability of ML APIs through better documentation, automated customization, and improved software engineering practices. This field is crucial for bridging the gap between cutting-edge ML research and real-world applications, impacting various sectors by improving the accessibility and effectiveness of ML technologies.