The Edge Inference Stack: A Field Map
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A series on edge AI inference. This part is the map and the physics. The parts that follow go measured, on hardware I own, with public models, profiling every metric defined here.
Pillar 03
Whiteboard-ready templates for designing real ML products — from candidate generation to evaluation harnesses.
A series on edge AI inference. This part is the map and the physics. The parts that follow go measured, on hardware I own, with public models, profiling every metric defined here.
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Chunking strategies, hybrid search, re-rankers, and groundedness evaluation.
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Planning, tool use, memory, and where humans belong in the loop.
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Offline metrics, online experiments, and the tests you actually trust.