<ul><li>Generators allow developers to process data lazily, streaming it as needed rather than loading everything into RAM, which is particularly useful for handling large datasets.</li><li>An iterator in Python is an object that allows us to traverse through a sequence one element at a time without loading the entire sequence into memory.</li><li>Generators are a type of iterator in Python that simplify the process of creating iterators by using the 'yield' keyword to produce values lazily.</li><li>Generators are beneficial in handling large datasets and can be used for scenarios like loading and preprocessing image datasets without frameworks like TensorFlow or PyTorch.</li></ul>

Python Generators for Data Loading in Machine Learning Projects

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