Your team is developing smaller, distilled LLMs for a specific domain. After performing batch inference on a dataset using several variations of your distilled LLMs and storing the outputs in Cloud Storage, you need to create an evaluation workflow. This workflow must integrate with your existing Vertex AI pipeline to assess the performance of the different LLM versions and track the resulting artifacts. What should you do?