👉 Reid Math is a probabilistic model used for sequence generation and inference, particularly effective in natural language processing tasks. It builds on the concept of Markov models but introduces a more sophisticated approach to capturing long-range dependencies in sequences. By using a hierarchical structure, Reid Math decomposes sequences into multiple layers, each focusing on different levels of abstraction. This allows it to generate coherent and contextually relevant text while maintaining efficiency in inference. The model leverages a combination of autoregressive and conditional generative processes, enabling it to produce high-quality outputs by balancing the trade-off between model complexity and computational feasibility.
