Ask HN: How do you define MLOps, and why is it trending?
What are the key differences between MLOps and DevOps? How does MLOps compare to Data Engineering?
I’m curious to hear thoughts on why MLOps is gaining so much attention right now. Is it even a distinct field? What unique challenges are there spinning up an LLM vs a DB? It's not about LLMs, it's about deploying, training, data management/pipelines, etc., for normal ML models.