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English(EN) @ ErikJonker Data is the foundation, but that's nothing new. Traditional ML based solutions on tabular data already proved that.Today, these ‘classical’ tabular

传统机器学习模型仍主导人工智能用例，生成式AI占5%

作者 PulseAugur 编辑部 · [1 个来源] ·

应用于表格数据的传统机器学习模型在生产用例中仍然占主导地位，约占当前应用的95%。生成式AI虽然在发展，但实际应用仅占约5%。这表明目前人工智能投资的主要回报在于成熟的机器学习解决方案。 AI

影响 成熟的机器学习模型继续在人工智能应用中提供主要投资回报，表明重点在于实际的、数据驱动的解决方案，而非新兴的生成式AI。

排序理由 该条目是一篇评论文章，讨论了人工智能采用和投资回报的现状，而非主要发布或重要的行业事件。

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 →

传统机器学习模型仍主导人工智能用例，生成式AI占5%

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该条目是一篇评论文章，讨论了人工智能采用和投资回报的现状，而非主要发布或重要的行业事件。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    数据是基础，但这并非新鲜事。基于表格数据的传统机器学习解决方案已经证明了这一点。如今，这些‘经典’的表格

    @ ErikJonker Data is the foundation, but that's nothing new. Traditional ML based solutions on tabular data already proved that.Today, these ‘classical’ tabular models account for ~95% of production use cases. GenAI is only about 5% in practice.Let's not forget where the actual R…

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