Language
English
عربي
Tiếng Việt
русский
français
español
日本語
한글
Deutsch
हिन्दी
简体中文
繁體中文
API
Home
How To Use
Language
English
عربي
Tiếng Việt
русский
français
español
日本語
한글
Deutsch
हिन्दी
简体中文
繁體中文
Home
Detail
@11.christina.11:
☼ christina ☽
Open In TikTok:
Region: US
Thursday 24 September 2026 23:08:34 GMT
63560
7031
101
193
Music
Download
No Watermark .mp4 (
45.49MB
)
No Watermark(HD) .mp4 (
33.51MB
)
Watermark .mp4 (
0MB
)
Music .mp3
Comments
akeelahఌ. :
are they on their way or??
2026-09-25 14:24:30
64
LoveMelanin :
I claim this positive energy
2026-09-25 01:13:36
54
Mira 🍃 :
claiming
2026-09-26 11:48:02
0
kultex Adam 🥰 :
I claim it with positive energy
2026-09-27 01:51:09
1
renay7701 :
I claim positive energy
2026-09-25 04:21:36
14
Anu :
Thank you
2026-09-26 16:08:43
0
Nature2Grace :
he has changed as well. 🥹🤍 we are growing.
2026-09-25 00:27:28
17
Kari K 🪭 :
Thank you💜 also, your energy is beautiful today🥰
2026-09-25 00:10:14
5
Marilu :
WELL IT WILL NEED IT TO BE UNCONDITIONAL FOR I AM CERTAINLY NOT PERFECT! CLAIMING WITH FRATITYDE!❤️🩹🍀🌻💝♥️💙🙏🏻💛🌹🌼🧚♀️🩷🌺💖🩵
2026-09-25 23:19:38
0
////////1010101 :
the two of us are evolving so much together. i wasnt even aware of the knots that are coming undone now a year ago
2026-09-25 00:49:54
12
ErosXIII :
Loving your work 🫡🫶🏻
2026-09-25 00:00:22
8
Élène :
girl i found your account right when I needed it this past month and your readings keep finding me exactly when i need them, just wow
2026-09-25 03:22:43
9
WIS154 :
Claiming
2026-09-25 06:13:21
8
Hunt51@ :
Thank you so much. 😊
2026-09-24 23:56:16
11
TESSY’S COLLECTION :
Claim with positivity
2026-09-25 07:37:36
5
Lottie (Taylor‘s Version) :
🍀🍀🍀 Claim
2026-09-26 13:30:12
2
Natalie :
I claim
2026-09-25 13:39:12
3
Lois French | Natural Planners :
Oooh girl the nails 💅 ✨✨✨
2026-09-24 23:14:38
5
Nathalia Martinez :
Claim it
2026-09-25 00:58:35
4
starxyyyy7 :
Claim 🙏🏻🙏🏻🙏🏻
2026-09-25 03:48:50
4
🧿omie🪬 :
i claim it Amen 🙏🙏🙏
2026-09-25 05:46:27
3
Margaret :
claim 🤍
2026-09-25 19:45:02
3
susan Adongo :
I claim it
2026-09-25 05:55:13
2
Kyrvhh_ :
I claim
2026-09-25 04:57:51
3
To see more videos from user @11.christina.11, please go to the Tikwm homepage.
Other Videos
#طرب_عراقي_اصيل #تصميم_تيك_توك #سوريا_تركيا_العراق #لاكاتكم_متابعاتكم_اكسبلورر #تصميم_فيديوهات🎶🎤🎬
#school #real #funny #xyzbca #fyp
#bsf#hangouttt#openhouse#quietonthecreek@Lis💐
AI NÃO É PREGUIÇOSO NÃO O MININU.... 🤣🤣🤣 #FreeFire #FreeFireMeme #FreeFireBrasil
Vô niệm chẳng cầu tâm, Vô tâm chẳng nhiễm trần. Một niệm lìa sinh diệt, Sinh diệt tự vô sinh #buongxuongchapniem #phatphapnhiemmau #laohoathuongtinhkhong #phapsutinhkhong #tinhkhongphapsu
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
About
Robot
API
Legal
Privacy Policy