Deploy a Custom Fine-Tuned Model Like an Enterprise ML Team
Deploy a model fine-tuned on your own voice and domain in about a day.
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This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Curate a Training Dataset From Your Own Content
Pull together a clean, representative dataset of your own writing or domain-specific examples to use for fine-tuning.
Tools
No catalog tool specified
Step 2
Fine-Tune a Model on Your Voice and Domain
Use Google Vertex AI to run the fine-tuning job against your curated dataset.
Step 3
Test Against Your Baseline Model
Use Braintrust to run structured evaluations comparing the fine-tuned model's outputs against your original baseline model.
Step 4
Deploy for Production Use
Roll the fine-tuned model out to production once it clears your evaluation bar.
Tools
No catalog tool specified
Time Required
1 day, one-time setup
Expected Result
A fine-tuned model that outperforms your baseline on your specific domain, deployed and ready for production use.
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