TFLite Articles
Designing an On-Device LLM Inference Scheduler: Priority Queues and Backpressure in Practice
This article shows how to build a scheduling layer above an on-device inference engine, using priority queues, preemption, and backpressure to avoid OOMs, unpredictable latency, and out-of-order results.
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Android On-device AI Image Preprocessing: From Bitmap Pixels to Tensor Input
A full Android on-device AI preprocessing pipeline from Bitmap pixels to tensor input, covering memory layout, pixel conversion, resize choices, normalization, and zero-copy optimization.
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