Production Machine Learning: Data‑Centric Practices, Efficient Fine‑Tuning, and MLOps for Reliable Systems
Machine learning is shifting from isolated model building to systems that are practical, efficient, and trustworthy. Several evergreen shifts are reshaping how teams design, deploy, and maintain ML solutions — trends that help projects move from prototypes to production and deliver measurable value. Focus on data quality firstModels are only as good as the data […]