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Cut token consumption by 88% with deterministic image routing (P50: 59ms) [P]

Recently I have been working on image attachment integration for my VEX agent runtime, and I came up with an idea for a significant optimization step. Typically images attached to LLM context as raw bytes (base64 encoded string or publicly accessible URL), and the VLM processes image data by scalin…

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  1. 2026-09-27 12:18 · r/MachineLearning
    Cut token consumption by 88% with deterministic image routing (P50: 59ms) [P]

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