معلومات عن هذه الحلقة
In this episode, we discuss Red Hat’s enterprise AI work, including OpenShift AI, safety guardrails, and router-based model selection. We also talk about smaller AI systems, long-term memory, and the limits of frontier models in enterprise workflows.
We cover governance, forensic traceability, and human review for regulated AI systems.
Transcript: https://otter.ai/u/aJ7q0qOyhhhiDRkdaJcLrOY6R7Y?utm_source=copy_url
We cover governance, forensic traceability, and human review for regulated AI systems.
Transcript: https://otter.ai/u/aJ7q0qOyhhhiDRkdaJcLrOY6R7Y?utm_source=copy_url
الإنجليزية
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النص 🔗
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البحث في الحلقات الماضية
البحث في الحلقات السابقة من cloud2030.
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In this episode we work through a Vibe Coding Operations session using Claude AI inside Digital Rebar as an analysis tool. We describe a three-phase flow of plan, execute, and analyze for inspecting a machine, gathering command output, and reviewing the results. We also talk about troubleshooting a…
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In this episode we discuss whether AI and LLMs are changing the role of open source, including the pressure on maintainer review queues and the growing appeal of private forks and internal maintenance. We also talk about the security tradeoffs of those forks, especially around visibility, dependenc…
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إخلاء المسؤولية: البودكاست والأعمال الفنية المضمنة في هذه الصفحة مأخوذة من the2030.cloud Podcast، وهي مملوكة لمالكها وليست تابعة لشركة Listen Notes, Inc أو معتمدة منها.
تعديل
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