Results for “tail-latency”

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

Trains, evaluates, and runs inference for Mask Auto-Label (MAL) weakly-supervised segmentation models using ViT-MAE backbones with minimal point or box annotations.

Analyzes Perfetto traces to find the root cause of latency, memory, or jank issues in Android apps.

Reduce per-token latency on Jetson vLLM servers by appending speculative decoding configuration, with guidance on when to enable and how to benchmark the improvement.

Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.