generative-ai video for a Generative AI Engineer is tasked with enabling enterprise-wide access to a newly trained foundation model via Databricks Model
A Generative AI Engineer is tasked with enabling enterprise-wide access to a newly trained foundation model via Databricks Model Serving. The organization requires: Version control and lineage Fine-grained access control for teams (marketing, legal, R&D) Auditable usage and model governance Direct use of the model in notebooks and pipelines What is the most appropriate deployment approach to meet all of these requirements?