[benrutter]

What do you mean by "feature extraction with an LLM?". I can get this for text based data, but would you do that on numeric data? Seems like there are better tools you could use for auto-ML in that sphere?

Unless by LLM feature extraction you mean something like "have claude code write some preprocessing pipeline"?

[visarga]

It's for unstructured inputs, text and images, where you need to extract specific features such as education level, experience with various technologies and tasks. The trick is to choose those features that actually matter for your company, and build a classifier on top so the decision is also calibrated by your own triage policy with a small training/test set. It works with few examples because it just needs a small classifier with few parameters to learn.