A towpath museum gets four pitches: a linear model for a roughly straight fee-versus-headcount line, clustering for unlabeled visitor paths, boosted trees for a messy mix of ticket fields, and a language model for rewriting exhibit cards. How should they match those pitches?

Short Explanation

Linear for the straight fee line, clustering for unlabeled visitor paths, boosted trees for the messy ticket table, and an LLM for exhibit prose. Swapping those, or one CUDA kernel for all four, misses the match.

Full Explanation

Match family to shape: linear for an approximately straight numeric relationship, clustering for unlabeled groups, boosted trees for a messy table, and an LLM for rewriting text. Swapping those, or collapsing all four into a kernel, misses the match.

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