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This blog post explores how integrating AI and ML with DevOps practices, particularly via Linux Bash, can enhance efficiency. It covers automating model training, validation, and deployment using Bash scripting, Docker, and Kubernetes, as well as real-time performance monitoring and automated retraining processes to maintain system reliability and minimize manual errors.