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@talla2500: لو مزاجك كيوت + دفا + راحة… يبقى البيجامة الدباديب معمولة علشانك 🧸🔥 خامة طرية.. شكل يفرّح.. ومريحة للنوم وأحلى قعدة بيت 😍 #شتوي #كولكشن_جديد #بيجامات #دبدوب #موضة
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Tuesday 02 December 2025 16:50:53 GMT
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Elmas Dükkan :
عسل 😂♥️
2025-12-03 05:11:45
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arabadakiler ne kadar özel bir çocuk olduğumu bilmiyorlar
#helaenatargaryen ##hotd #رابطة_عشاق_ايغون #تيم_وينتر❄️ #هيلينا_تارغيريان
LLM vs RAG vs AI Agent vs Agentic AI — four words people use like they mean the same thing. 🧠 They don't. Each one is the last one plus ONE capability. Stop asking "do we need an agent?" Ask: which capability is actually missing? 1️⃣ LLM (Large Language Model) — the model on its own. Knows only its training data. → Perfect for: drafting, summarising, rewriting. 2️⃣ RAG (Retrieval Augmented Generation) — add retrieval. Answers from YOUR docs, not its memory. → Perfect for: internal wikis, support bots, policy Q&A. 3️⃣ AI Agent — add tools in a loop. It acts, checks the result, acts again until the task is done. → Perfect for: tickets, data fixes, multi-step workflows. 4️⃣ Agentic AI — add coordination. Many agents, one goal. → Perfect for: research pipelines, end-to-end ops that one context window can't hold. 👀 The part nobody says: most products calling themselves "agentic" are step 2 with a nicer UI. That's not a flaw. Step 2 is cheaper, faster and easier to debug. Rule: add one capability at a time, and only when the step before it is the bottleneck. Where teams go wrong: jumping straight to multi-agent for a problem RAG would solve. Now you're debugging handoffs instead of shipping. 📸 Screenshot the last frame: model + retrieval + tools + coordination. Save it for the next time someone says "we need an agent". Follow @hackproduct — we turn scary AI-engineering concepts into things you can actually ship. ⚡ . . #AIengineering #machinelearning #softwareengineering #LLM #RAG
لاا خطيه 😂🔥 ! ... #barcelona #fyp #foryou #برشلونه
#الدواسر #الدواسر_خطلان_الأيدي #الدواسر_الافلاج_الخرج #الدواسر❤️ #502
The young Ranger shoved me so hard that my breakfast tray flew from my hands and crashed across the mess hall floor. He thought I was some civilian contractor blocking his way, and when my retired military K9 stepped between us, the soldier looked at the scar along my dog's side and called him a cripple. What he didn't know was that I had deliberately left the silver stars of a Brigadier General back in my quarters that morning—and one of his own friends had just recognized exactly who I was. For twenty-two years, I had served in the United States armed forces, including deployments to places where one bad decision could cost lives. But Sunday mornings at our base in upstate New York were different, because they were the one time each week when I tried to disappear into ordinary life. I wore an oversized gray hoodie, faded jeans, old running shoes, and no visible rank. Beside me walked Natsu, my retired German Shepherd, who had earned more respect in combat and disaster zones than most people would ever understand #drama #dramaseries
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