ml-inference-optimization

Features and purpose

ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.