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@shanal586: #foruyou #foryoupageofficiall #viralditiktok #قران_كريم
رانا تجمل حسین،🇵🇰فیصل آباد
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Region: PK
Tuesday 08 September 2026 01:20:58 GMT
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Deen Islam :
Walaikum Assalam
2026-09-08 10:21:48
2
Muhmmad Rashid :
Allah Kareem hai
2026-09-08 09:36:03
1
👑Noor mojasm👑 :
sobhan allah
2026-09-08 11:26:43
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🔥Ibrar Dar🔥 :
Allah hu Akbar
2026-09-08 07:23:35
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R shah :
2026-09-08 04:12:36
1
irfan302 :
2026-09-08 07:33:31
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umar.malik :
sobhanala
2026-09-08 06:43:51
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Mian Farooq8 :
2026-09-08 11:01:15
1
Hanan 🥰 Borana :
وعلیکم السلام
2026-09-08 10:08:21
1
🤣funny🤣dnya🤣 :
2026-09-08 10:44:32
1
Mian Farooq8 :
2026-09-08 11:01:21
0
ranaasif22 :
💙💙💙💙💙💙💙💙💙💙💙💙
2026-09-08 12:07:22
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Rana.Adeel.Rajpoot :
Allah🥰🥰🥰🥰🥰🥰🥰
2026-09-08 10:40:55
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🪮✂️ گڈ لک سیلون پیر محل ✂️🪮 :
Walaikum assalam
2026-09-08 12:54:33
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Ch Usman Ch Usman :
2026-09-08 12:20:08
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malik :
2026-09-08 11:23:38
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Qasim Basra :
mash Allah
2026-09-08 10:44:24
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To see more videos from user @shanal586, please go to the Tikwm homepage.
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There are some stories that remind us why we don’t deserve dogs, and this is one of them. After a traumatic attack by a larger dog, these two brothers found themselves side-by-side in the vet clinic, both battered and bruised. But while most would be focused on their own pain, this little guy had only one thing on his mind: getting to his brother. In an incredible display of intelligence and sheer devotion, he realized his surgical drain was the only thing anchoring him down. Instead of letting it stop him, he simply picked it up in his mouth, taking his recovery into his own hands—or rather, his own teeth—so he could trot down the hall to check on his sibling. It is a powerful reminder that loyalty isn’t just a feeling; it’s an action. Even when he was at his most vulnerable, his first instinct wasn’t to rest or hide—it was to ensure he wasn’t alone, and more importantly, that his brother wasn’t alone either. Animals possess a level of emotional intelligence that often puts ours to shame. They don’t hold grudges, they don’t wallow in the “why me,” they just look for the fastest way to get back to the ones they love. Let’s send all the healing energy in the world to these two brave souls. May their recovery be as fast as this pup’s problem-solving skills, and may they be back home playing together very soon. True brothers, through thick and thin. #puppylove #lastchancepawsrescue #dogtok #petcommunity #kindnessmatters
Selasa 30 juni 08:30#fypシ゚viral #Pegunungan #dieng #negriatasawandieng #wonosobo #kejajarwonosobo
MoE: The Routing Trick Behind Every Model You Actually Run Kimi K3 has 896 experts inside it, and 16 of them fire for any word it writes. That sounds like the giant model you could finally run at home, and it isn't. Mixture of experts is the architecture behind nearly every model you used this year, and the thing most developers get wrong about it shows up on your hardware bill. A model that computes with 2% of itself still has to keep 100% of itself in memory. This video walks through what actually happens when your prompt hits the router, why the word "expert" is misleading, and how to read the two numbers on a model card before you buy hardware. Get the hotter takes in your inbox, every Tuesday: https://devsplainers.c... Chapters: 00:00 The 896 experts nobody uses 00:40 What an "expert" actually is 01:57 Inside the router: 256 slices, 8 picked 02:52 Every word, every stage 04:18 Nobody assigns the specialties 05:09 What sparsity actually buys you 05:35 Why the RAM bill is for the whole model 06:33 MoE models break your rules more often 07:20 Total vs active on a model card 07:41 Why a 400B model undercuts a 27B one What is mixture of experts? A mixture of experts (MoE) model splits the big block inside each stage of a language model into many narrower copies, called experts, and adds a small router that picks a handful of them for every single word. Qwen's 35B-A3B keeps 256 experts per stage and fires 8, so 3 billion parameters do the work of 35 billion. That cuts the math per token, which is why MoE LLMs generate fast and cost less per token on an API. It does not cut memory. The router can send the next word to any expert at any stage, so every parameter has to stay loaded. Total parameters tell you what hardware to buy. Active parameters tell you how fast it runs. In this video: • How a MoE router scores and picks experts, per token and per layer • Why an "expert" is not a Python expert or a French expert • The 20.7% number that kills naive expert prefetching • Dense vs MoE models, and where the savings actually come from • Load balancing, dead experts, and DeepSeek's fix • Why streaming experts off an SSD costs 13 seconds per word • Reading total vs active parameters (35B-A3B) before sizing a machine • Why MoE models follow your tool-use rules less reliably than dense ones
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Anh cho cô ấy cơ hội đi #Bangtamuytin #tuvantinhcamcungtam
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