as explainable AI (XAI) is gaining traction as a way to make AI models more transparent and understandable. XAI is a set of techniques that allow AI models to explain their decisions in a way that is understandable to humans. This is important because AI models can be difficult to interpret, and XAI can help to make them more transparent and trustworthy.
Reinforcement learning
Reinforcement learning is a type of machine learning that focuses on teaching machines to learn by trial and error. This approach is particularly useful for teaching machines to solve complex tasks, such as playing games or navigating a maze.
Transfer learning
Transfer learning is a machine learning technique that allows a model to be trained on a task and then transferred to another task. This approach is useful for tasks that require a lot of data, such as natural language processing, because it allows the model to be trained on a large dataset and then transferred to a new task.