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@bashar3311: #אפנועיםזהאהבה😍🏍💉 #אפנועים_בדם🔥🚫 #foryou #الهم_صلي_على_محمد_وأل_محمد #الشعب_الصيني_ماله_حل😂😂 #تيمكسات🥷 #tmax530 #tmax560 #explore #دباعه_أبو_العم👑😎
בשאר🤍🍂
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Tuesday 14 January 2025 13:07:01 GMT
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פהאד פאאור🖤🦅 :
الله يبارك اخوي حبيبي 🥰🥰🥰
2025-01-14 19:47:33
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mksem :
🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰
2025-01-14 13:19:48
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יאמן נעים :
الله يبارك لك أخوي بشار❤️🦅🔥
2025-01-15 13:34:04
0
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How did Deepseek create a reasoning model nearly matching OpenAI's o1? Let’s dive into their fascinating technical paper! 1️⃣ Reinforcement learning is crucial. Training the DeepSeek-R1-Zero solely on this approach revealed impressive reasoning skills. 2️⃣ They employed multi-stage training with minimal supervised data, focusing first on teaching reasoning. Group Relative Policy Optimization helped cut costs! 3️⃣ Knowledge distillation from larger models outperformed smaller ones trained directly through reinforcement learning. The outcome? Models that are cheaper to train and deploy while rivaling o1 in performance! Diana here, breaking down tech, startups, and AI without the hype.
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