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Baskadia

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1reala

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3d model

3d model
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1

Mainu Beg

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Smile Baby

Fashion and Creative Photographer

Smile Baby
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M

Opok B'gundall

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Model minimalis

Model minimalis
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O

Suvankar Datta

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Beautiful alpana in flower model

Beautiful alpana in flower model
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S

Deepthinkerbee

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Muse

An expression of excitement in full

Muse
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D

ゲスト

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Steam Engine

This is the picture of an early model of steam engine . Its shape is quite different to modern engines , its speed was much lower than today's modern engines , its loading capacity was also very low.

Steam Engine

Emmanuel

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Self respect

Selfish is not good but dignity is very important so as to increase self reliance

Self respect
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E

Rajneesh

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Tractor

Tractor
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R

ゲスト

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Photography

Photography

Oshorena

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Loving myself

Realizing I have the power, and no one should make me feel less,than what I am.

Loving myself
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O

Imran Khan

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Animal creation model horse

Animal creation model horse
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I

S.D.Creation

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Fine arts#

Fine arts#
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S

Abhaya jit

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Dna model project

For school project

Dna model project
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A

Ye Min Aung

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Luffy Nika Form

Luffy Nika Form
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Y

Ghazmedia

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Model

Sebuah karya tangan

Model
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G

Nvd Ahmed

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Corolla 82 Model

Corolla 82 Model
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Jayscreative

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3D model Malteser Chocolate

3D model Malteser Chocolate
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J

ANIL

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Fashion show

Fashion designer

Fashion show
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A

ゲスト

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Transformational Leadership And Digital

This aim of this paper is to examine the role of transformational leadership and organizational change in driving digital transformation in business sector. In the context of digital transformation, the paper argues that transformational leadership is more effective and efficient than transactional leadership. Previous studies have not noted the significance.

Noaman Rashid

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Creating your own Large Language Model

1. What is an LLM? Large Language Models (LLMs) are neural networks trained on vast amounts of text data to understand and generate human-like text. Their core architecture relies on Transformers , introduced in the 2017 research paper "Attention Is All You Need." Key Concepts Tokenization : Dividing text into smaller units (tokens) for processing. Attention Mechanisms : Highlighting the importance of specific words in context. Pre-training & Fine-tuning : Training the model on general data init

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