@d.oezi7: magical✨ #paris #france #fyp

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Saturday 03 October 2026 20:33:01 GMT

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Comments

Gunner.g06 :

I’ve been there before. Quite cool actually 🤓

2026-10-11 15:14:04

0

🪽🫴⭐ :

this song is catchy

2026-10-10 19:02:00

0

The_iron_pylon :

2026-10-06 23:56:52

520

ma.ett07 :

Dream date

2026-10-06 09:11:05

921

tjorven :

Nichts geht über Liebe

2026-10-07 13:36:10

79

グレゴリー :

2026-10-06 19:29:23

34

❦~Ray~❦🪽🧸 :

2026-10-06 05:48:21

85

samuelillo__36 :

Lo que nunca esperaré de esa persona

2026-10-08 00:07:27

3

einfach.sheyenne :

🥹💞

2026-10-03 22:14:58

130

Lisopaine :

Leur tour effeil

2026-10-08 21:56:33

8

Dimi :

One day w her

2026-10-09 22:19:24

3

leon :

Then u see the gen z revolution

2026-10-09 21:58:22

2

cam :

2026-10-06 15:17:17

15

someonenotheranymore :

2026-10-08 06:14:41

11

Alberto🦕 :

2026-10-08 22:14:53

4

Evi💕 :

2026-10-09 19:56:42

2

R’91 :

2026-10-07 23:23:34

9

Latigresse🐆🇫🇷 :

2026-10-08 14:48:24

2

toto_mrchn :

2026-10-06 08:20:44

5

2828.samet :

Kill me

2026-10-10 21:48:23

1

Francesca | Island Vibes :

Ich freue mich auf meine zukünftige Liebe ❤️

2026-10-06 22:43:07

0

j.opde70 :

2026-10-09 07:49:58

2

Liya :

Ton combo lèvres ?😍

2026-10-06 17:45:55

4

To see more videos from user @d.oezi7, please go to the Tikwm homepage.

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Lâu chưa quậy#xh

Lâu chưa quậy#xh

How do language models turn words into numbers they can actually work with? 🧠 That's where text embeddings come in. Here's the intuition: 🔹 Language models split text into tokens and represent each token as a vector — a list of numbers. 🔹 Similar words tend to have similar vectors, so they end up close together in the embedding space. 🔹 Embeddings can capture more than similarity — differences between vectors can also represent relationships between words. 🔹 For example, in classic word embeddings, the relationship between “man” and “woman” is roughly reflected in the relationship between “king” and “queen.” 🔹 Real embeddings can have hundreds or thousands of dimensions, even though we often visualize them in just 2D or 3D. But there's an important distinction: 🔹 Classic word embeddings give a word a single learned vector. 🔹 Modern LLMs use contextual representations, so the representation of a token can change depending on the words around it — allowing “bank” to represent a river bank in one context and a financial institution in another. The big picture: A language model turns tokens into vectors, and those vectors encode patterns and relationships learned from text. #TextEmbeddings #NLP #LLMs #MachineLearning #AI

How do language models turn words into numbers they can actually work with? 🧠 That's where text embeddings come in. Here's the intuition: 🔹 Language models split text into tokens and represent each token as a vector — a list of numbers. 🔹 Similar words tend to have similar vectors, so they end up close together in the embedding space. 🔹 Embeddings can capture more than similarity — differences between vectors can also represent relationships between words. 🔹 For example, in classic word embeddings, the relationship between “man” and “woman” is roughly reflected in the relationship between “king” and “queen.” 🔹 Real embeddings can have hundreds or thousands of dimensions, even though we often visualize them in just 2D or 3D. But there's an important distinction: 🔹 Classic word embeddings give a word a single learned vector. 🔹 Modern LLMs use contextual representations, so the representation of a token can change depending on the words around it — allowing “bank” to represent a river bank in one context and a financial institution in another. The big picture: A language model turns tokens into vectors, and those vectors encode patterns and relationships learned from text. #TextEmbeddings #NLP #LLMs #MachineLearning #AI

#ئەکتیڤبن🥀🖤ـہہـ٨ــہ ئەو دوو خوشک🥴

#ئەکتیڤبن🥀🖤ـہہـ٨ــہ ئەو دوو خوشک🥴

যদি কখনও একাকিত্ম অনুভব করো তাহলে আমাকে মনে কইরো, আমি আবার সঙ্গ দিবো, সঙ্গী হওয়ার সাধ্য নেই আমার! #foryou #viral #trending #sadvideos😭😭 #ফরইউতে_দেখতে_চাই @TikTok @TikTokBangladesh™ @পিছুটান🖤

যদি কখনও একাকিত্ম অনুভব করো তাহলে আমাকে মনে কইরো, আমি আবার সঙ্গ দিবো, সঙ্গী হওয়ার সাধ্য নেই আমার! #foryou #viral #trending #sadvideos😭😭 #ফরইউতে_দেখতে_চাই @TikTok @TikTokBangladesh™ @পিছুটান🖤

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