Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Evaluation and Methodology | HackerNoonApparate improves latency in NLP and CV workloads while maintaining accuracy, offering advantages over traditional early-exit models.
Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Implementation | HackerNoonApparate optimizes model performance using TensorFlowServing and ONNX format with a unique ramp training strategy.