In summary: the LLM would most likely use a traditional ML method or python script to analyze the datasets and reduce the noise.

For example, I use LLMs to create 3d models. I don't tell them to recreate the 3d vertexes every time, they have a python script that programmatically creates the shapes, and with a freecad mcp, they get views in images, also they can create other scripts to check for collisions and other issues.

They can also get a histogram, discard noisy values, check outliers, etc, etc, using scripts or by running a traditional ML value to get later the refined data.

Opus 5.5 is quite decent currently, but expensive and not enough for many challenges, but I see the progress happening.