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Italiano(IT) 🧠 Un nuovo test su # TimesFM 3.0 di # Google , con risultati che trovo straordinari. 📊 L’ho testato sul dataset M5 di Walmart: vendite giornaliere reali, 9 seri

Google 的 TimesFM 3.0 在 Walmart 销售数据上表现强劲

一位 Mastodon 用户分享了在 Walmart M5 数据集上测试 Google 的 TimesFM 3.0 模型获得的惊人结果。该模型在真实日销量数据上进行了评估,显示出强劲的性能。 AI

影响 展示了在零售销售领域进行先进时间序列预测的潜力。

排序理由 该条目讨论了特定模型(TimesFM 3.0)在基准数据集(Walmart M5)上的性能,属于研究评估范畴。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Google 的 TimesFM 3.0 在 Walmart 销售数据上表现强劲

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该条目讨论了特定模型(TimesFM 3.0)在基准数据集(Walmart M5)上的性能,属于研究评估范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 Italiano(IT) · [email protected] ·

    🧠 Google # TimesFM 3.0 新测试,结果令我惊叹。📊 我用 Walmart 的 M5 数据集对其进行了测试:真实每日销售额,9 个序列

    🧠 Un nuovo test su # TimesFM 3.0 di # Google , con risultati che trovo straordinari. 📊 L’ho testato sul dataset M5 di Walmart: vendite giornaliere reali, 9 serie aggregate, prezzi, festività e SNAP: https:// lnkd.in/p/ejcHhVcZ ___ ✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶…