I'm currently speaking with post-training/ML teams at LLM labs, folks who wrangle data for models or work in ML/MLOps. Tell me your thoughts or anecdotes on :: Biggest recurring bottleneck (collection, cleaning, labeling, drift, compliance, etc.) …