Most AI models can be classified into four types, based on their purpose:
1. Generative models: These are used to generate new data, such as images or text. For example, a generative model could be used to generate new faces that look realistic.
2. Discriminative models: These are used to classify data into categories. For example, a discriminative model could be used to classify images as either containing a dog or not containing a dog.
3. Hybrid models: These are a combination of generative and discriminative models. For example, a hybrid model could be used to generate new faces that look realistic and also classify them into categories such as male or female.
4. Reinforcement learning (RL) models: These are used in situations where an agent is interacting with an environment and trying to maximize some reward signal by choosing the best actions to take in each state of the environment