The KIEU TOC Model is a unique framework for developing machine learning models. It features two distinct modules: an input layer and a decoder. The encoder is responsible for processing the input data, while the decoder creates the predictions. This division of tasks allows for optimized performance in a variety of domains. Use Cases of the Two