The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field.

MLOps Community is a collaborative platform for professionals working at the intersection of machine learning and operations, offering resources, events, and discussions on MLOps best practices and methodologies. By bringing together data scientists, engineers, and DevOps practitioners, MLOps Community enbles knowledge sharing and innovation in deploying, managing, and scaling machine learning models in production environments.

MLOps Community

In April 2025, OpenAI's GPT-4o update led to sycophantic behavior in ChatGPT due to a prompt deployment issue. This incident highlighted a lack of MLOps discipline, such as proper prompt registration and deployment strategies like shadow and canary releases. The incident underscores the importance of treating prompts as critical artifacts in the AI development lifecycle and ensuring deployment processes safeguard against unintended effects.

When Prompt Deployment Goes Wrong: MLOps Lessons from ChatGPT’s ‘Sycophantic’ Rollback

Machine Learning Operations (MLOps) for AI Systems