Ans: LLMs typically use a combination of supervised and unsupervised techniques. The initial training is often unsupervised, using vast amounts of unlabeled text data. Fine-tuning and alignment may involve supervised learning with labeled data. Overall, LLMs lean more towards unsupervised learning in their core training approach.