a-bertology-view-of-llm-orchestrations-token-and

Production LLM systems often rely on separate models for safety and other classification-heavy steps, increasing latency, VRAM footprint, and operational complexity. We instead reuse computation already paid for by the serving LLM: we train lightweight probes on its hidden states and predict labels in the same forward pass used for generation. We frame clas…

Independent GitHub snapshot · Automated classification · Original documentation governs