Adaptive Inference

An AI inference optimization approach that dynamically controls reasoning depth by monitoring a model's internal states, such as probability distribution convergence. It terminates reasoning early on simple problems to conserve compute, while maintaining full reasoning chains on complex problems, balancing efficiency and accuracy.