GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #52
A Generative AI Engineer wants their finetuned LLMs in their prod Databricks workspace available for testing in their dev workspace as well. All of their workspaces are Unity Catalog enabled and they
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Question
A Generative AI Engineer wants their finetuned LLMs in their prod Databricks workspace available for testing in their dev workspace as well. All of their workspaces are Unity Catalog enabled and they are currently logging their models into the Model Registry in MLflow. What is the most cost-effective and secure option for the Generative AI Engineer to accomplish their goal?
Options
- AUse an external model registry which can be accessed from all workspaces.
- BUse MLflow to log the model directly into Unity Catalog, and enable READ access in the dev
- CSetup a duplicate training pipeline in dev, so that an identical model is available in dev.
- DSetup a script to export the model from prod and import it to dev.
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