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

【效率与协作】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 fra…

独立 GitHub 快照 · 自动分类 · 以原作者文档为准