A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia
TTPO: Test-Time Policy Optimization