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Navigating MLOps: From Internship to Industry
This chapter recounts the speaker's journey from a developing intern in natural language processing to a proficient ML engineer, emphasizing their experiences with MLOps at notable companies. It covers the intricacies of dataset creation, challenges in model deployment, and highlights the critical need for effective MLOps practices within organizations. The speaker also discusses the transition from batch predictions to real-time model serving and the significance of automated retraining and monitoring in ongoing machine learning operations.