👉 "Homoglot" is a term that refers to a type of machine learning model in which the architecture and training data are designed to be similar, so that the same model can be used for both prediction and classification tasks. This makes it possible to train models on a large amount of data without needing to retrain them on new data. Homoglot is often used in applications where the goal is to achieve high accuracy on a specific task or problem, but the training process is not as time