Model Registry and Versioning

Model Registry and Versioning

Manage your prompts and tuned models. Learn how to save, version, and organize your AI assets within Google AI Studio.

Model Registry and Versioning

As you build more, you will create dozens of prompts and maybe even fine-tune custom models. You need a way to organize them.

Saving Prompts

In AI Studio, every time you work, you should Save your prompt.

  • Name: Give it a descriptive name (e.g., "Customer Support Agent v1").
  • Description: Add notes about what this prompt is for.
  • Folder: These live in your Google Drive (in a special hidden app folder), but are accessible via the Studio file list.

The Model Registry (Tuned Models)

If you run a Fine-Tuning job (which we cover in Module 5), the resulting model appears in your My Library.

  • Naming: tuned-models/marketing-helper-v3
  • Selection: Once a model is in your registry, it appears in the main "Model" dropdown list, right next to gemini-1.5-flash.

Version Control (Manual vs Auto)

AI Studio doesn't have "Git-like" branching yet.

  • Best Practice: If you are making major changes to a prompt, use "Save As" to create "Agent v2". Don't overwrite "Agent v1" if it is being used in production code.

Summary

Treat your prompts like code. Save them, name them well, and manage your custom tuned models via the Library tab.

In the next lesson, we discuss Access Controls and Collaboration.

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