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What would you require before calling an inference change “quality-neutral”? [D]

Two GSM8K scores: 96.89% → 96.82%, across all 1,319 test questions. These are from NVIDIA’s Ling-3.0-flash comparison on one DGX Spark. The optimized configuration changes the MoE backend, adds an FP8 output head and enables NEXTN speculative decoding together. Both runs use the FP4 checkpoint. Agg…

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  1. 2026-10-30 06:59 · r/MachineLearning
    What would you require before calling an inference change “quality-neutral”? [D]

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