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English(EN) How do you build AI systems that remain reliable under real-world conditions? Next week at # SwissText2026 , Mike Mannion and Olmo Barberis will explore this qu

AI可靠性专家将在SwissText 2026上发表演讲

作者 PulseAugur 编辑部 · [1 个来源] ·

下周在SwissText 2026上，Mike Mannion和Olmo Barberis将就构建可靠的AI系统发表演讲。Mannion将讨论使用PUnit对随机NLP系统进行概率测试，而Barberis将介绍资源受限环境下的现代OCR。他们旨在与参会者就其挑战和用例进行交流。 AI

影响 演讲将涵盖改进NLP和OCR中AI可靠性的方法，为从业者提供见解。

排序理由 该集群讨论了在专注于AI、NLP和OCR研究课题的会议上的演讲。 [lever_c_demoted from research: ic=1 ai=1.0]

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AI可靠性专家将在SwissText 2026上发表演讲

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该集群讨论了在专注于AI、NLP和OCR研究课题的会议上的演讲。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    如何在现实世界条件下构建可靠的AI系统？下周在#SwissText2026上，Mike Mannion和Olmo Barberis将探讨这个问题

    How do you build AI systems that remain reliable under real-world conditions? Next week at # SwissText2026 , Mike Mannion and Olmo Barberis will explore this question from two different angles: 🎤 Probabilistic testing for stochastic # NLP systems with # PUnit (Mike) 🎤 Modern # OC…

    链接 swisstext.org

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