๐ฏ๐ ๐๐ฎ๐๐๐ฒ๐ฟ ๐๐ผ๐๐ ๐ง๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐๐ฒ๐บ๐ถ๐ป๐ถ
Managing Gemini models was a mess. Tracking costs for AI tasks was slow. I needed a better way.
I started with a Model Registry. I stored model versions in one place. This helped. But tracking costs remained hard. I lacked a data schema. I had no way to log costs in real time.
I fixed this with four steps:
- Added cost labels to the registry.
- Automated cost logging during AI tasks.
- Set automatic cost limits for validation.
- Logged decisions for weekly reports.
The results:
- One source of truth for all model data.
- Cost tracking is 3x faster.
- Weekly reports are now automatic.
Apply these tips to your workflow:
- Design your schema to track usage context.
- Build a pipeline for automatic cost logs.
- Use validation to keep data accurate.
- Record the reasons behind your decisions.
Source: https://dev.to/junhee916/gemini-model-management-ending-inefficiency-the-secret-to-3x-faster-cost-tracking-with-model-2gig Optional learning community: https://t.me/GyaanSetuAi