Add Artifacts via UI

Apart from the programmatic approach of creating a run and logging artifacts to it (as described in the documentation, you can also directly create an artifact through the user interface and add data to it. This eliminates the need to create a run as an intermediate step.

This simplified method is particularly useful when you need to store data in the ML Repo for specific purposes, such as uploading your data for fine-tuning an LLM.