ML Ops Challenges

Lukas discusses the challenges in ML Ops, emphasizing the stochastic nature of machine learning models and the lack of understanding in their internal mechanisms. He highlights the difficulty in establishing best practices, monitoring, and the need for better tools to ensure reliable deployment and expected outputs.