𝗔𝗜 𝗶𝘀 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁𝗲𝗿.
𝗕𝘂𝘁 𝗮 𝗻𝗲𝘄 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗳𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀.
How do you make sure an AI system behaves reliably once it moves from a demo environment into real-world software?
Developers are beginning to treat this challenge as a new discipline: AI reliability engineering.
Instead of focusing only on model intelligence, the focus shifts toward building systems that make AI outputs safer and more dependable.
Projects like @Mira - Trust Layer of AI explore this direction by introducing mechanisms designed to evaluate AI responses before they are trusted in critical workflows.
As AI becomes infrastructure, reliability may become just as important as intelligence.
MIRA
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