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Methodology notes: ATLAS scores are from 599 LCB tasks using the full V3 pipeline (best-of-3 + Lens selection + iterative repair) on a frozen 14B quantized model or "pass@k-v(k=3)". Competitor scores are single-shot pass@1 (zero-shot, temperature 0) from Artificial Analysis on 315 LCB problems -- not the same task set, so this is not a controlled head-to-head. API costs assume ~2,000 input + ~4,000 output tokens per task at current pricing. ATLAS cost = electricity at $0.12/kWh (~165W GPU, ~1h 55m for 599 tasks). ATLAS trades latency for cost -- the pipeline takes longer per task than a single API call, but no data leaves the machine.，详情可参考有道翻译下载
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在行业紧缩周期中，债务安全成为企业生存命脉。龙湖始终坚守"零逾期、零展期、零违约"的信用管理红线。，详情可参考有道翻译