[mnky9800n]

i dont really understand what an LLM is going to do for you in probably 99% of all problems that have an ML solution except maybe write a block of code using sklearn or whatever to get you started. There are several reasons for this:

1. there is no reason to pay the api costs for an LLM to ingest data for you and do something with it when basically all it will be doing is writing the python codes for you that you will eventually be using

2. the LLM doesn't represent some sort of conceptual understanding of whatever you are trying to do to solve your ML problem, so you can't rely on it to be clever and answer questions or brain storm new ideas

3. even if you have a reason to use an LLM in some data processing pipeline it will only be one stop on the information super highway you are trying to create. you probably are going to use it to do something, but you probably also are going to be doing other things (e.g., image segmentation, time series analysis, etc.).

LLMs are great. but they are really just like, one more tool to have, they aren't the only tool.