Monthly summary for 2025-09: Focused on performance optimization for the microsoft/onnxruntime-genai decoder. Delivered Decoder Prompt Processing Performance Enhancement by conditionally disabling lm_head execution to reduce prefill time and improve time-to-first-token (TTFT), especially for longer prompts. Introduced a new is_lm_head configuration flag to control this behavior. Implemented under commit 135e52f8ffde4254acd7fa99e6182a8f33d1f232 with message 'Disable lmhead while prompt processing (#1762)'. Overall impact: lower latency in decoder-only prompts, improved UX for GenAI workloads, and a safer, flag-driven rollout. Technologies demonstrated include performance optimization, feature flag design, and configuration-driven behavior.

In August 2025, the Olive project delivered a key feature to improve ONNX quantization: CalibrationDataReader Strided Data Support. The change introduces strided calibration data processing with chunked data handling to optimize memory usage, and adds a data-range specification for calibration to increase flexibility and control. No major defects were reported this month; this work strengthens Olive's ONNX quantization pipeline and enables more scalable production workflows.