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    Tag: Model Distillation

    Sep 16
    13 min read
    Why Compute-Efficient Reasoning Models Are Driving Down Inference Costs

    When the initial wave of test-time reasoning models reached the market, they demonstrated remarkable leaps in complex logical deduction, mathematical derivation, and multi-file code synthesis. By replacing immediate, one-shot next-token generation with an extended, internal chain-of-thought (CoT) phase, systems were suddenly capable of decomposing multi-layered enterprise directives, auditing their own speculative premises, and self-correcting flawed […]