IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Prompt Templates and Versioning: Managing Prompts at Scale
Once an application has more than a few prompts, editing them in place stops being safe. This guide shows how to keep prompts as versioned code: templates that keep user text out, versions that include the model and settings, fingerprints that catch silent edits, and checks that run before a prompt ships.
Model Registry: Managing the ML Model Lifecycle
A model registry is where trained models become managed releases. This guide runs a full lifecycle in MLflow: a production champion, a retrained challenger, a validation gate on held-out data, promotion by moving an alias, tags for audit, and a one-line rollback, with the reasoning behind each step.