this post was submitted on 03 Jun 2025
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[–] oce@jlai.lu 15 points 3 days ago* (last edited 3 days ago)

There's actually a lot of human intervention in the mix. Data labelers for source data, also domain experts who will rectify answers after a first layer of training, some layers of prompts to improve common answers. Without those domain experts, the LLM would never have the nice looking answers we are getting. I think the human intervention is going to increase to counter the AI pollution in the data sources. But it may not be economically viable anymore eventually.

This is a nice deep dive of the different steps to make today's LLMs: https://youtube.com/watch?v=7xTGNNLPyMI