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@thengoc.official: Mỉm cười em muốn nhắc anh ta lớn rồi… #nguyenkieuoanh #ketthucvachiatay #nhachaymoingay #sbtentertainment #tamtrang
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Saturday 25 October 2025 23:43:11 GMT
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Bảo Anh Đáng Tin 21 :
Chủ nhật zui zui em nạ
2025-10-26 00:49:57
0
vườn nhà Mây :
☺️☺️☺
2025-10-26 01:26:30
1
𝐓𝐫𝐚̣𝐦🎧𝐂𝐡𝐢𝐥𝐥 :
☺☺☺
2025-10-26 03:50:38
0
Buồn Một Chút :
💕💕
2025-10-25 23:52:09
0
𝓑𝓲ể𝓷 🎶 :
🥰
2025-10-26 01:44:44
0
𝙏..𝘿..𝙈𝙐𝙎𝙄𝘾 ྀིྀི໒꒱ :
🥺
2025-10-26 00:54:46
0
HoàngTú :
🥰
2025-10-26 00:53:17
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Võ Trung Tài :
🥰🥰🥰
2025-10-26 00:42:36
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Nhỏ Thanhne :
❣❣
2025-10-26 00:36:07
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𝙑𝙮 :
❤🥰
2025-10-26 00:33:36
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Nhịp Cảm Xúc :
😍❤
2025-10-26 00:22:21
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Trạm Nhạc264 :
💕💕
2025-10-26 00:21:48
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KÝ ỨC :
🥰
2025-10-25 23:58:17
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𝑺𝑨𝑫 𝑴𝑼𝑺𝑰𝑪 🎧 :
☺️☺
2025-10-25 23:55:36
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ANH TỴ 89🎶 :
😊😊
2025-10-26 03:10:20
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𝐒𝐮.9ˣᥫᩣ :
❤❤❤
2025-10-25 23:48:26
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Hà Duyên47 F1 :
😳
2025-12-21 04:59:35
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اذا اتحبهاا صدك دزلها الفيديو.. ✨ #عمار_العلي #like #تصميم_فيديوهات🎶🎤🎬 #اغاني #fyp
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#🦅🥀 #🥀💯 #
Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 🤯 Here's how a large language model actually gets built, step by step: 1️⃣ Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2️⃣ Tokens. The model never sees words. "Unbelievable" becomes 4 pieces: Un · bel · iev · able. Each piece becomes a number, and each number becomes a vector of hundreds of numbers. 3️⃣ The transformer. Stacks of layers, and inside each one, attention. In "the programmer fixed the server because it crashed", a real GPT-2 attention head sends 54% of "it"'s attention straight to "server". 4️⃣ Pre-training. One task, repeated trillions of times: predict the next token. Guess wrong, measure how wrong, nudge the weights a tiny bit downhill. Meta trained Llama 3 on up to 16,000 GPUs. 5️⃣ Post-training. A pre-trained model is just a very powerful autocomplete. Fine-tuning on good examples, human feedback and checkable rewards (did the math match? did the code pass?) turns it into an assistant. 6️⃣ Serving. A 405-billion-parameter model needs about 810 GB just for its weights. One GPU holds 80. So it gets split, compressed and batched so millions of people can use it at once. Every example in the video comes from a real model: the tokens, the attention, even the loss landscape. The weird part? Writing code, explaining physics, translating French: none of it was programmed. It all emerges from one tiny objective, repeated at enormous scale: predict what comes next, and get slightly less wrong every time. Which step surprised you most? Drop the number 👇 Save this for the next time someone calls AI "just autocomplete." #llm #artificialintelligence #machinelearning #chatgpt #techexplained
@fabioteruel Não foi por acaso que você encontrou este vídeo. Deus conhece o seu coração, conhece a sua luta e sabe exatamente do que você precisa. Não saia antes do final. Há uma bênção sendo preparada para a sua vida. O que hoje parece impossível pode mudar em um instante, porque Deus continua fazendo milagres. Assim como Ele chamou Pedro para andar sobre as águas, Deus também está chamando você para confiar mais n'Ele do que nos seus problemas. A sua vitória chegará no tempo certo. Eu creio, amém. Deixe o seu nome para oração nos comentários e compartilhe esta mensagem com alguém que também precisa desta palavra. #palavrafabioteruel #oracao
adaptador cubo quatro entradas bivolt #adaptador
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