This project explores how large language models (LLMs) can be used for intent classification tasks. We investigate different prompting techniques and test them with different models. As a benchmark, we use same intent dataset used in my other intent classification project, allowing us to directly compare LLM performance against the previously implemented Logistic Regression model.