TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference

TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference explores TIDE is a post-training system that significantly reduces LLM inference latency and increases throughput by enabling per-token early exits, requiring no model retraining and offering a fast calibration process.. Commercial viability score: 8/10 in LLM Inference Optimization.