@mdsahadat3161: Loud and clear India cdi🙌☠️#fyp #foryoupage #vairalvideo #1milion #argentina

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Saturday 03 October 2026 08:48:17 GMT

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⚡SHANTO⚡ :

love u messi fan 🇦🇷🤝🇧🇷

2026-10-03 09:35:46

66

𝐘𝐨𝐮𝐫ܔHᴀʙɪʙ☯乡 :

for messiii fan

2026-10-03 11:25:35

5

S🏴 :

2 Goal vore dise already 🫡👌🏽

2026-10-03 14:53:15

0

🥂🥂꧁𝕴𝖇𝖗𝖆𝖍𝖎𝖒꧂ 🥂🥂 :

ajker jonno 🫱🏻‍🫲🏼🫶🏻

2026-10-03 11:01:48

13

ᴏʀɪᴛʀᴏ :

for indian fan

2026-10-03 10:35:28

0

Sɪᴍᴘʟᴇツ Bᴏʏ🏏 :

২০ ৩০ টা গোল দিতে পারলে তো কথাই নাই

2026-10-03 11:26:21

7

طيب  :

Yeahhh

2026-10-03 13:19:44

0

𝐂𝐡𝐞𝐚𝐭𝐞𝐫 🤡🫦 :

For Messi fan💘

2026-10-03 13:15:06

0

Jannat 🌷 :

hmm 🥲😫❤️‍🩹

2026-10-03 08:54:16

2

FAHIM M7 :

for messi fannnnn

2026-10-03 11:06:42

2

༒Jakirul Islam Jakir༒ :

ব্রাজিল মানেই

2026-10-03 09:13:07

0

—͟͟͞͞ महिन ✧ :

ফাইনালের দিন ব্রাজিল সাপ্টার দের চিনা শেষ😩

2026-10-03 12:45:15

1

🏴𝐀𝐑𝐀𝐅𝐀𝐓📈 :

কিন্তূ কেন

2026-10-03 12:05:53

0

— 𝘏𝘢𝘣𝘪𝘣 🐸 :

Kobe theke sprt suru korlen

2026-10-03 09:02:56

0

সৈয়দ নুসরাত নাসির :

কাওকেই সাপোর্ট করা লাগবে না

2026-10-03 13:33:31

0

𝙉⁉️ :

2026-10-03 13:14:46

0

HABIB ONLY 1 :

2026-10-03 13:18:57

0

⚡亗 𝙰𝐔︎R𝙰 ⸙ 𝚃𝙰𝙹𝙸𝙼  :

for messi fan 🖤🫶💖

2026-10-03 12:36:50

3

Safir.0 :

For Football fens

2026-10-03 13:00:18

0

hridoy :

2026-10-03 12:59:11

0

👽 BAPPI JR ✅ :

4 - 0

2026-10-03 16:02:26

0

🇧🇷 :

2026-10-03 13:01:03

0

🌸 Bisty Gazi_ᥫ᭡፝֟፝֟ 🕊️✨ :

Life r fast Argentina fan hoiya aj Brazil support korbo taw India support korbo nah

2026-10-03 13:17:37

0

𝚂𝚊𝚗𝚓𝚒𝚍🧃 :

2026-10-03 13:43:28

0

·•𝗠•· :

🇦🇷+🇧🇷🫂

2026-10-03 13:28:03

0

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Other Videos

twitch: StRoGo #strogo #кс #cs2 #deko

twitch: StRoGo #strogo #кс #cs2 #deko

What exactly is model distillation — and why did DeepSeek suddenly make everyone talk about it? Think of it as a teacher and a student. The teacher is a massive model: very smart, very expensive, very slow. The student is a much smaller one: cheap and fast, but not as capable. Instead of training the small model only on raw internet data, you let the big model write the answers — the worked examples, the reasoning, step by step. Those outputs become the student's training data. The student never copies the teacher's weights. It learns the pattern. The result isn't as smart as the teacher. But it's dramatically cheaper and faster to run — and surprisingly strong. DeepSeek did exactly this with R1: they used the big model to generate reasoning data, then trained smaller Qwen and Llama models on it, from 1.5B all the way to 70B. Their own report found that distilling from R1 worked better than making those small models discover the reasoning themselves through reinforcement learning. Then the controversy. OpenAI has accused DeepSeek of using outputs from OpenAI models — accounts, programmatic access, bypassed restrictions. DeepSeek hasn't confirmed it. Two things to keep apart: ✅ DeepSeek distilling its own R1 into smaller models — documented. ⚠️ DeepSeek distilling from OpenAI models — an allegation, not an established fact. And distillation itself is not shady. It's a standard machine learning method. DeepSeek's own MIT licence explicitly allows using R1 outputs for fine-tuning and distillation. The real question is permission. If the model owner allows it, distillation is completely normal. If the terms prohibit building a competing model, doing it anyway is a very different issue. The one-line version: the biggest model discovers the capability. Distillation squeezes as much of it as possible into something smaller. Save this for the next time someone says

What exactly is model distillation — and why did DeepSeek suddenly make everyone talk about it? Think of it as a teacher and a student. The teacher is a massive model: very smart, very expensive, very slow. The student is a much smaller one: cheap and fast, but not as capable. Instead of training the small model only on raw internet data, you let the big model write the answers — the worked examples, the reasoning, step by step. Those outputs become the student's training data. The student never copies the teacher's weights. It learns the pattern. The result isn't as smart as the teacher. But it's dramatically cheaper and faster to run — and surprisingly strong. DeepSeek did exactly this with R1: they used the big model to generate reasoning data, then trained smaller Qwen and Llama models on it, from 1.5B all the way to 70B. Their own report found that distilling from R1 worked better than making those small models discover the reasoning themselves through reinforcement learning. Then the controversy. OpenAI has accused DeepSeek of using outputs from OpenAI models — accounts, programmatic access, bypassed restrictions. DeepSeek hasn't confirmed it. Two things to keep apart: ✅ DeepSeek distilling its own R1 into smaller models — documented. ⚠️ DeepSeek distilling from OpenAI models — an allegation, not an established fact. And distillation itself is not shady. It's a standard machine learning method. DeepSeek's own MIT licence explicitly allows using R1 outputs for fine-tuning and distillation. The real question is permission. If the model owner allows it, distillation is completely normal. If the terms prohibit building a competing model, doing it anyway is a very different issue. The one-line version: the biggest model discovers the capability. Distillation squeezes as much of it as possible into something smaller. Save this for the next time someone says "distilled model" like you're supposed to know what it means. #modeldistillation #deepseek #machinelearning #aiexplained #llm

Essen erwärmen ohne Mikrowelle? #mikrowelle #gesundheit #fy

Essen erwärmen ohne Mikrowelle? #mikrowelle #gesundheit #fy

#onceuponatime #onceuponatimeinhollywood #wuwuwu #leonardodicaprio #leonardodicaprioedit #leonardodicaprioedits #extrait #film #viral #partage #meme #memes #memestiktok

#onceuponatime #onceuponatimeinhollywood #wuwuwu #leonardodicaprio #leonardodicaprioedit #leonardodicaprioedits #extrait #film #viral #partage #meme #memes #memestiktok

#fyp #foryou #cops #police #bodycam

#fyp #foryou #cops #police #bodycam

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