Regression Language Model RLM: How a Small Text-to-Number Model Predicts Kernel Latency, Memory and Model Accuracy Quick answer (featured-snippet ready): A Regression Language Model (RLM) is an encoder–decoder (T5‑Gemma initialized) text-to-number model that predicts numeric code metrics—like Triton latency, program memory, and neural-net accuracy—directly from raw code strings without hand-engineered features. In experiments, a ~300M-parameter […]