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Nexus AI uses a transformer-based neural network design to give consistent and contextually relevant responses, which was originally detailed in a research publication named "Transformer" When a user interacts with the chat interface, the text is initially tokenized into a series of numerical vectors that the model can understand. These vectors are then examined by many layers of neurons, yielding a probability distribution function that determines the next set of probable words. The word with the highest probability is chosen and used as the starting point for the next word. This process will continue until a complete response is achieved.
