Your Foundation Model is a Service. Operate it Like One - DevOps.com

▤ Summary

This article argues that foundation models should be operated like production services, not handed off as one-time data science projects. It explains how to think about pretraining, continuous pre-training, prompt engineering, RAG, and fine-tuning in practical operational terms. It also stresses that traditional monitoring is not enough because model failures often appear as subtle wrong answers rather than obvious service outages. The piece recommends separate AI observability, careful input monitoring, and a service-oriented operating model for production FM deployments.

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