Hello, thank you so much for joining us. The purpose of this interview is to explore the differences

Hello, thank you for having me. I'm an expert in AI advanced model engineering, so I'm here to discuss the differences between various AI models. Generally speaking, AI models can be divided into two main categories: supervised learning and unsupervised learning. Supervised learning involves training a model on labeled data sets while unsupervised learning involves training a model on unlabeled data sets. Each type of AI model has its own strengths and weaknesses, so it is important to understand the differences between them in order to make the best use of each type of model.