Question

A data science team already has a general-purpose large language model, but its answers on the company's internal insurance policies are often too generic. They gather thousands of labeled question-answer pairs specific to those policies and use them to further adjust the model's weights so it performs better on this domain. Which AI activity are they performing?

Accepted Answer

Fine-tuning, a form of training that updates model weights on domain-specific data

Answer

Inference, since the model is being used to answer policy questions

Answer

Quantization, since they are reducing the numerical precision of the model

Answer

Data labeling only, with no change to the model itself