Lambda functions in Python are anonymous functions defined with the lambda keyword, commonly used for quick transformations, filtering, or mapping of data in AI workflows.
They are useful for preprocessing features, applying activation functions, formatting outputs, and applying functions to each element in an iterable.
Common use cases of lambda functions in AI engineering include basic transformations, handling multiple iterables, filtering data, and cumulative operations like summing or multiplying elements.
However, it is advised to avoid using reduce() function in certain cases to ensure efficient coding practices.