Building effective Video Language Models presents unique challenges compared to text-only models. This article explores the technical hurdles in VLM development.

From the massive computational requirements to the need for diverse and representative training data, creating powerful VLMs requires overcoming significant obstacles.

We'll examine current approaches to these challenges and potential paths forward.