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@chuxonxam: 🚨🍲 99k mà đòi bào ngư vi cá thượng hạng?! 😂 Chú Xơn bật mí “bí kíp” nấu súp coi xong muốn xỉu ngang! 🤣 #viralvideo #xuhuongtiktok #chuxonxam #fypシ #supbaongu

CHÚ XƠN XÀM
CHÚ XƠN XÀM
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Region: VN
Wednesday 23 September 2026 12:08:44 GMT
28997
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Comments

nguyn.hu.tm0790
Nguyễn Hữu Tâm :
Làm hạt nêm đi fan
2026-09-23 12:28:18
1
sv366736767
ko biết :
hôm nay nhìn sạch v
2026-09-25 11:13:48
0
hello_kity1985
1985🐂 :
Sau khi xem kênh này xog ko dám ăn uống gì luôn😁😁😁
2026-09-28 23:33:45
0
khanh.trung.lam4
khanh trung lam :
vãi ! bao bổ bao bắn😂
2026-09-26 13:16:02
1
cauutqnn
Cậu Út :
Hèn chi ẻ toàn sợi nhựa 😂
2026-09-23 14:26:06
1
taom6406m42
MinhKhang :
Giơ tay lên ông già
2026-10-02 22:31:05
0
ngc.thnh674
Ngọc Thịnh :
😳😳😳
2026-09-23 12:15:03
2
coba_nhahole
☘️ Ốc Đắng ☘️ :
😆😆😆
2026-09-23 15:10:51
1
31143846393amy58
Amy 581688 :
😱😱😱
2026-09-23 15:08:08
1
rubytran978
Ruby Tran :
😂😂😂
2026-09-30 09:03:19
0
nc.bnh.i
nước đá bình đại :
[Ấm lòng][Ấm lòng][Ấm lòng]
2026-09-23 13:55:33
1
To see more videos from user @chuxonxam, please go to the Tikwm homepage.

Other Videos

Thái cực hình ý tôi là chu xin lỗi #caucavancan
Thái cực hình ý tôi là chu xin lỗi #caucavancan
심화 피로회복 딥 테라피
심화 피로회복 딥 테라피
#Gabon#freestyle#dance#autumn#obsessed
#Gabon#freestyle#dance#autumn#obsessed


so generous of me😌 #fypシ゚viral #mru🇲🇺 #fyp #viral #unfreezemyacount
so generous of me😌 #fypシ゚viral #mru🇲🇺 #fyp #viral #unfreezemyacount
Key Points: 1️⃣ Number of Parameters – More weights in the model = larger LLM. 2️⃣ Training Data – Gigabytes → Terabytes of text data from books, web, and code. 3️⃣ Compute Power – Thousands of GPUs running for weeks/months. 4️⃣ Architecture – Transformers with layers, attention heads, embeddings. 💡 In short: Big data + Big compute + Big model = LLM Comment Trigger for Engagement: Which LLM do you find most impressive? A) ChatGPT B) GPT-4 C) LLaMA D) Other (Comment below!) I’ll reply to your comments with mini-explanations of each. 📌 Save this if you want a clear mental model of LLMs. #creatorsearchinsights #datascience #ai #machinelearning #artificialintelligence
Key Points: 1️⃣ Number of Parameters – More weights in the model = larger LLM. 2️⃣ Training Data – Gigabytes → Terabytes of text data from books, web, and code. 3️⃣ Compute Power – Thousands of GPUs running for weeks/months. 4️⃣ Architecture – Transformers with layers, attention heads, embeddings. 💡 In short: Big data + Big compute + Big model = LLM Comment Trigger for Engagement: Which LLM do you find most impressive? A) ChatGPT B) GPT-4 C) LLaMA D) Other (Comment below!) I’ll reply to your comments with mini-explanations of each. 📌 Save this if you want a clear mental model of LLMs. #creatorsearchinsights #datascience #ai #machinelearning #artificialintelligence

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