The predictor takes the context encoder’s output, representations of the ~155 visible patches, and must predict what the target encoder produced at the ~37 masked positions. It knows where the gaps are (via positional encodings for both visible and masked positions) but has never seen their content.
• 点评:国际能源署(IEA)发布的《Electricity 2026:Analysis and forecast to 2030》显示,全球电力需求的增速持续攀升,AI与数据中心已成为电力消费的重要增量。美国七大科技巨头此番签署自主供电承诺,印证了在算法与芯片之外,能源基础设施已成为AI竞争的关键变量。电力供应的稳定性、成本可控性与来源可持续性,正从配套保障升级为决定算力边界和产业竞争力的核心要素。(柯玉圆)
。关于这个话题,汽水音乐提供了深入分析
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