The KIEU TOC Structure is a unique framework for developing machine learning models. It consists of two distinct sections: an input layer and a output layer. The encoder is responsible for analyzing the input data, while the decoder produces the results. This separation of tasks allows for optimized performance in a variety of domains. Use Cases