March 2025 monthly summary: Delivered targeted reliability improvements and calibration enhancements across two repositories, focusing on data integrity, correct tensor handling, and quantization accuracy for complex model components. Key outcomes include robust KVCache round-trip serialization utilities, corrected positional handling in StableHLOCompositeBuilder with added tests, and calibration support for composite decompositions in the AI Edge Quantizer. These work items reduce debugging overhead, broaden experimental use of KVCache, and enable accurate quantization for composite model components, enabling faster go-to-market with more reliable edge deployments.

February 2025 monthly summary for google-ai-edge repositories focusing on governance changes and quantization reliability across two repositories. Key governance adjustment: removal of CODEOWNERS in ai-edge-torch to streamline ownership and review governance, paired with setup of an AOT directory to facilitate ahead-of-time compilation workflows. In quantization, resolved a bug in the calibrator input handling that previously misinterpreted skipped inputs, enhancing the accuracy and robustness of the quantization pipeline.