Unleashing the Magic of Machines and LLMs by Mastering MLOps
MLOps combines ModelOps, DataOps, and DevOps. It involves actively managing a productionized model, ensuring its stability and effectiveness. What is the best way to focus on optimizing data, model, and developer operations to maintain the functionality of the ML application? MLOps involves striking a balance between providing flexibility and visibility to data scientists for model development and maintenance while granting ML engineers control over production systems.