@amiirawarda111: #قالولي حبه مهما يدوم#عشاق_وردة_الجزائرية #طربيات_الزمن_الجميل #احلى_مساء_لاحلى_متابعين

عاشقة وردة 🇲🇦🇲🇦🇲🇦
عاشقة وردة 🇲🇦🇲🇦🇲🇦
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Saturday 29 August 2026 11:57:04 GMT
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omabdulla965
omabdulla965 :
2026-08-29 12:13:07
1
user252505574
Ali Baba 22 :
مساء الورد والياسمين على ام الزوق الجميل كلام الزمن الجميل ربنا يحفظك آمين يارب العالمين الحب شيء جميل أن كان صادق من القلب ربنا يحفظك
2026-08-29 12:39:50
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user969511883
الملك لله والحمد الله :
يسعد قلبك وحياتك
2026-08-29 12:42:12
1
lahbibfesparis
Fès/Bercy🇲🇦🇫🇷🇲🇦 :
2026-08-29 13:14:10
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mbentbouha111
Malak8 :
مساء الورد
2026-08-29 12:29:09
1
med.med.joe
🇨🇵Med -joe,59 🇲🇦 :
🥰🥰🥰
2026-08-29 14:14:14
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alaouihassan70
ALAOUI I HASSAN :
🥰🥰🥰
2026-08-29 19:25:02
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fahme083
فهمي المومني :
🥰🥰🥰
2026-08-29 14:51:07
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sonia_smooli
sonia_smooli :
🌹🌹🌹
2026-08-29 13:42:46
1
moenkalbonah
Moen Kalbonah :
❤️❤️❤️
2026-08-29 12:35:40
1
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"Does it feel better?" is not an eval. It's a vibe. And it's why your AI app regresses in prod without anyone noticing. Wrong question: "is the new prompt better?" Real question: "better on which dimension, and where exactly did it fail?" Five stages. One closed loop. 🧪 RUN — the same suite every release. 6 cases through the app. 4 green, 2 red. The reds have names: wrong tool, unsupported claim, bad format, slow. ⚖️ GRADE — three judges, three jobs. Code grader for exact output. Model grader for open-ended quality. Human review for the ambiguous edge cases. One grader cannot see all three. 📊 SCORE — six dimensions, never one number. Correctness 0.82 · Groundedness 0.71 · Tool success 0.88 · Safety 0.99 · Latency p95 1.9s · Cost $0.004 Only groundedness is red. A single "accuracy: 87%" would have buried it. 🔍 DIAGNOSE — bucket the failures. Retrieval 11 · Prompt 5 · Tool 3 · Policy 2 · Format 1 Retrieval towers over everything. That is why groundedness is low — the model was never given the right context to ground on. 🔁 FIX & RERUN — patch retrieval, rerun only the failed cases. Groundedness 0.71 → 0.91. All 6 green. Release gate flips BLOCKED → READY. 👀 The part teams skip: the buckets. Scores tell you something is wrong. Buckets tell you what to touch. Without them you rewrite the prompt for a week to fix what was a retrieval bug the whole time. The rule: a score is a symptom, a bucket is a diagnosis. Most teams ship on a demo that felt good, then find out from users. Send this to whoever just said "yeah it seems smarter now." 📸 Screenshot the last frame — the whole loop, scored and gated, on one card. Follow @hackproduct — scary AI concepts, made shippable. ⚡ . . #AIevals #LLMevaluation #AIengineering #LLM #RAG

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