Tensors are a fundamental concept in AI and machine learning that can be thought of as multi-dimensional containers for data. Most of us are already familiar with scalars, vectors, and matrices. Tensors can be seen as a generalization that encompasses all of these concepts, along with higher-dimensional data structures. They serve as a versatile term to represent various data types and containers, allowing us to work with more complex and multidimensional datasets.