👉 Transformation engineering is the process of systematically modifying and optimizing complex systems, particularly in artificial intelligence, to improve their performance, efficiency, and adaptability. It involves the design and implementation of various techniques such as algorithmic refinements, architectural adjustments, and data preprocessing strategies to transform raw inputs into more meaningful representations or outputs. This engineering approach is crucial in fields like machine learning and deep learning, where it helps in enhancing model accuracy, reducing computational costs, and enabling systems to better handle diverse and dynamic environments. By iteratively testing and refining these transformations, engineers can develop robust solutions that meet specific application requirements and drive innovation across various industries.
