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'Just because... he looks like a pro'

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3:21

Git practical tips

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4:42

The moment you first get stuck on Python grammar

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5:27

Seasoning for Deep Learning Experts

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5:07

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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3:58

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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Consideration for easy use

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4:02

Deep Learning Experts' Research Legal Core

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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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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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【Membership Exclusive】Diffusion Transformer Official Code Description

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5:05

The core of the Diffusion Transformer paper

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The point where a headache starts to creep in

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Essential when studying DiT

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A model that pushes diffusion performance to the limit

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

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If you are wasting time on deep learning preprocessing

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【Membership Exclusive】Transformer Learning Concepts

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If you find deep learning preprocessing coding inconvenient

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What about my mathematical intuition?

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이거 알고 나서 코딩 실력 부스터

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uv basic tutorial

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' 하.. 분명히 함정 질문인데... '

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개발 협업의 기본: git branch

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10초안에 맞추면 고수

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21:08

【멤버쉽 전용】Transformer 모델 코드

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단점은 별 거 아니긴 함

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git의 기본기 정리

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How "git reset" works?

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버전 관리의 첫 번째 이유

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Diffusion 코드에서 스트레스 받는 거

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잡코드에 시간 낭비 ㄴ

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Simple but Super-efficient trick

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3:53

uniform 주고 사기치는 거 아님?

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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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Why inherit nn.Conv1d, not nn.Module?

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Why this shouldn't be understood

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Should I take a picture...?

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【Membership Exclusive】Transformer Model Concept

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add + commit 콤보부터 시작

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【Explanation with CNN visualization】

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근데 왜 쓰는거지?

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딥러닝 고수들은 자유자재로 다룸

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딥러닝 좀 치는 사람들은 다 아는 공식

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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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