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Git practical tips

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The moment you first get stuck on Python grammar

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Seasoning for Deep Learning Experts

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If you have a GPU with infinite VRAM, good.

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4:22

It's actually easy because it's a one-tool pattern.

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4:29

How Companies Save on LLM Serving Costs

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Essentials for Deep Learning Researchers

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6:10

Trap💀 Beware

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8:19

【Explanation with KV cache visualization】

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1:41

【Membership Exclusive】Transformer Deep Dive Outro

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4:21

【Membership Exclusive】Transformer Deep Dive Introduction

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4:34

Consideration for easy use

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4:02

The shortcut for deep learning experts

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4:18

Data preprocessing methods used by experts

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2:46

The most used command in a hurry

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5:40

Why Deep Learning Experts Use It

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16:41

30,000 Subscriber Q&A (uploaded at 34,000)

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8:08

【Membership Exclusive】Transformer Learning Code

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8:41

Git conflict is no longer a problem

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17:10

【Explanation with Diffusion Transformer Visualization】

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8:25

【Membership Exclusive】Diffusion Transformer Official Code Description

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5:05

The core of the Diffusion Transformer paper

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5:42

The point where a headache starts to creep in

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4:14

Essential when studying DiT

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8:06

A model that pushes diffusion performance to the limit

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4:08

Special feature for those who go to PyCon: Become a Python expert

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5:32

If you are wasting time on deep learning preprocessing

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8:28

【Membership Exclusive】Transformer Learning Concepts

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7:31

If you find deep learning preprocessing coding inconvenient

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3:07

What about my mathematical intuition?

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4:47

이거 알고 나서 코딩 실력 부스터

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7:53

uv basic tutorial

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3:52

' 하.. 분명히 함정 질문인데... '

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2:25

개발 협업의 기본: git branch

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5:15

10초안에 맞추면 고수

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21:08

【멤버쉽 전용】Transformer 모델 코드

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3:48

단점은 별 거 아니긴 함

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3:30

git의 기본기 정리

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7:00

How "git reset" works?

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3:56

버전 관리의 첫 번째 이유

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6:30

Diffusion 코드에서 스트레스 받는 거

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2:59

잡코드에 시간 낭비 ㄴ

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3:01

Simple but Super-efficient trick

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3:53

uniform 주고 사기치는 거 아님?

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4:56

git의 핵심 첫 번째

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3:06

알아두면 쓸데없는 파이썬 문법 3가지

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3:13

내 코드 나중에 다시 봐도 안 헷갈리도록

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2:51

Why inherit nn.Conv1d, not nn.Module?

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5:12

Why this shouldn't be understood

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5:48

Should I take a picture...?

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8:16

【Membership Exclusive】Transformer Model Concept

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3:28

add + commit 콤보부터 시작

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21:51

【Explanation with CNN visualization】

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6:03

근데 왜 쓰는거지?

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4:13

딥러닝 고수들은 자유자재로 다룸

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딥러닝 좀 치는 사람들은 다 아는 공식

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3:20

Why JSON Was Discarded in Deep Learning Experiments

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' 그건... 컴퓨터가 알아서 하는 거 아닌가... '

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17:57

Flow matching, but Animated

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flow matching 희대의 X소리

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