This week we dive into the MLOps tooling landscape, followed by a brief discussion of a bill passed by the US Congress. Next, we review a list of ML failure cases and look at some recent research that is attempting to make large language models fine-tune faster. Finally, we are stoked to share a couple of upcoming events (and one where we will be speaking).