feat: add Edge prediction pattern#48
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Add the Edge prediction pattern to the Serving patterns category. This pattern describes running ML inference directly on edge devices such as smartphones, IoT devices and embedded systems. Covers model optimization (quantization, pruning), edge-cloud model distribution via OTA updates, and considerations for monitoring, security and fallback strategies. Closes mercari#1
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What this PR does / why we need it:
Adds the Edge prediction pattern, which was listed as "To do" in the README. This pattern covers running ML inference directly on edge devices like phones, IoT hardware and embedded systems.
Partially addresses #1 (covers the inference pattern, future PRs can add edge training and model management patterns)
Changes:
What the pattern covers:
Special notes for your reviewer:
I followed the same format used by the other Serving patterns. Happy to adjust the content or add more detail if needed. This is my first content contribution to this repo.