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๐Ÿ—ฃ๏ธ Large Language Model (LLM)

[LLM] Parameter-Efficient Transfer Learning for NLP ๋ฆฌ๋ทฐ

์ด๋ฒˆ์—๋Š” "Parameter-Efficient Transfer Learning for NLP" ๋…ผ๋ฌธ์„ ํ•œ๋ฒˆ ๋ฆฌ๋ทฐํ•ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.๋…ผ๋ฌธ ๋งํฌ Parameter-Efficient Transfer Learning for NLPFine-tuning large pre-trained models is an effective transfer mechanism in NLP. However, in the presence of many downstream tasks, fine-tuning is parameter inefficient: an entire new model is required for every task. As an alternative, we propose transferarxiv.orgAbstract๋Œ€๊ทœ๋ชจ ์‚ฌ์ „..

โ˜๏ธ Cloud

[Docker] Docker Volume ํ™œ์šฉ

๋„์ปค๋Š” ์œ ๋‹ˆ์–ธ ํŒŒ์ผ ์‹œ์Šคํ…œ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ํ•˜๋‚˜์˜ ์ด๋ฏธ์ง€๋กœ๋ถ€ํ„ฐ ์—ฌ๋Ÿฌ ์ปจํ…Œ์ด๋„ˆ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•˜๊ณ , ์ด๋ฏธ์ง€์— ๋ณ€๊ฒฝ๋œ ๋‚ด์šฉ์„ ์ €์žฅํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ด์ค๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, ์›น ํ”„๋กœ๊ทธ๋žจ ๋“ฑ ์—…๋ฌด์—์„œ ์‚ฌ์šฉํ•˜๋Š” ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ฐ์ดํ„ฐ์— ์ ‘๊ทผํ•˜๊ณ  ์ด๊ฒƒ์„ ๊ณต์œ ํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋„์ปค ๋ณผ๋ฅจ ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ์ œ๊ณตํ•˜๋Š” ์„œ๋น„์Šค์˜ ๋ฐ์ดํ„ฐ์™€ ๋กœ์ง์€ ๋ฐ˜๋“œ์‹œ ๋ถ„๋ฆฌ๋˜์–ด์•ผ ํ•œ๋‹ค๋Š” ํŠน์ง•์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์ƒํ™ฉ์ด ๋ฐ์ดํ„ฐ์— ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š๊ณ  ์–ธ์ œ๋“  ๋‹ค๋ฅธ ์ปจํ…Œ์ด๋„ˆ๋กœ ์ด์ „ํ•  ์ˆ˜ ์žˆ๋‹ค๋ฉด ์šด์˜์ž๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์•ˆ์ „ํ•˜๊ฒŒ ๊ด€๋ฆฌํ•˜๊ณ  ์šด์˜ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋„์ปค ๋ณผ๋ฅจ์€ ์ปจํ…Œ์ด๋„ˆ์—์„œ ์ƒ์„ฑ, ์žฌ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๊ณ  ํ˜ธ์ŠคํŠธ ์šด์˜์ฒด์ œ์—์„œ ์ง์ ‘ ์ ‘๊ทผ์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ๋ณด์กด๋˜์–ด์•ผ ํ•˜๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์œ ..

โ˜๏ธ Cloud

[Docker] Docker๋ฅผ ํ™œ์šฉํ•œ Ngnix Container ์„ค์ •, ๊ด€๋ฆฌ & Docker hub ๋ฐฐํฌ

์ด๋ฒˆ์—๋Š” Python Programming ํ™˜๊ฒฝ์„ Container๋กœ ์ œ๊ณตํ•ด ๋ณด๊ธฐ ์œ„ํ•œ ์‹ค์Šต์„ ํ•œ๋ฒˆ ํ•ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.Docker ์ปจํ…Œ์ด๋„ˆ์— Python ์ด๋ฏธ์ง€ ์„ค์น˜ ๋ฐ ์‹คํ–‰ # ์ƒ˜ํ”Œ ์†Œ์Šค ์ฝ”๋“œ ์ž‘์„ฑ(๋กœ๋˜ ํ”„๋กœ๊ทธ๋žจ)$ vi py_lotto.pyfrom random import shufflefrom time import sleepgamenum = input('๋กœ๋˜ ๊ฒŒ์ž„ ํšŸ์ˆ˜๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”: ')for i in range(int(gamenum)): balls = [x+1 for x in range(45)] ret = [] for j in range(6): shuffle(balls) # balls๋ฅผ ๋ฌด์ž‘์œ„๋กœ ์„ž๊ณ , number = balls.pop() ..

โ˜๏ธ Cloud

[Docker] Docker Container ๋ช…๋ น์–ด (with Ngnix Container ์‹คํ–‰)

์ด๋ฒˆ์—๋Š” Docker Container ๋ช…๋ น์–ด๋“ค์— ๋ฐํ•˜์—ฌ ํ•œ๋ฒˆ ์•Œ์•„๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.์ด๋ฏธ์ง€๋Š” ์ฝ๊ธฐ ์ „์šฉ์˜ ๋ถˆ๋ณ€ ๊ฐ’์œผ๋กœ ๋งŒ๋“ค์–ด์ง‘๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ด๋ฏธ์ง€๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋„์ปค ์—”์ง„์€ ์ปจํ…Œ์ด๋„ˆ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋•Œ ์ด๋ฏธ์ง€์™€ ํ•จ๊ป˜ ์ฝ๊ณ  ์“ฐ๊ธฐ๊ฐ€ ๊ฐ€๋Šฅํ•œ ๋ ˆ์ด์–ด๋ฅผ ์ถ”๊ฐ€ํ•ด์„œ ๋งŒ๋“ค์–ด์ง€๋Š” ๊ฒƒ์ด ์ปจํ…Œ์ด๋„ˆ ์ž…๋‹ˆ๋‹ค. ์ด๋ฒˆ์—๋Š” ์ปจํ…Œ์ด๋„ˆ ๊ตฌ๋™, ์ ‘๊ทผ, ๋กœ๊ทธ, ์šด์˜ ๋“ฑ์˜ ๋ช…๋ น์„ ๋‹ค๋ค„๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค. ์ด๋ฏธ์ง€์™€ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ์ปจํ…Œ์ด๋„ˆ ๋ช…๋ น๋„ dockerd ๋ฐ๋ชฌ์ด ์ œ๊ณตํ•˜๋Š” docker CLI API๋ฅผ ํ†ตํ•ด ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค.๋„์ปค ์ด๋ฏธ์ง€๋Š” ์ปจํ…Œ์ด๋„ˆ ๋™์ž‘๊ณผ ๊ด€๋ จ๋œ ์ฝ˜ํ…์ธ ๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ปจํ…Œ์ด๋„ˆ์˜ ๋™์ž‘์ด ์ด๋ฃจ์–ด ์ง‘๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ปจํ…Œ์ด๋„ˆ ๋ช…๋ น ๋Œ€๋ถ€๋ถ„์ด ์„œ๋น„์Šค ์‹คํ–‰ ๋ฐ ์šด์˜๊ณผ ๊ด€๋ จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.Container๋Š” Process๋‹ค๋„์ปค ์ปจํ…Œ์ด๋„ˆ๋Š” ์•ž์„œ ๋ฐฐ์šด ๋„์ปค ..

โ˜๏ธ Cloud

[Docker] Docker ๋ช…๋ น์–ด ํ™œ์šฉ Part.2

๋„์ปค ์ด๋ฏธ์ง€ ํƒœ๊ทธ ์„ค์ •๊ณผ ๋„์ปค ๋กœ๊ทธ์ธ ๋ฐ ๋กœ๊ทธ์•„์›ƒDocker Login & Logout ๋ถ€๋ถ„๋ถ€ํ„ฐ ์ด์–ด์„œ ํ•ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.๋„์ปค ํƒœ๊ทธ(tag)๋Š” ์›๋ณธ ์ด๋ฏธ์ง€์— ์ฐธ์กฐ ์ด๋ฏธ์ง€ ์ด๋ฆ„์„ ๋ถ™์ด๋Š” ๋ช…๋ น์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉ๋ฒ•์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.docker tag ์›๋ณธ ์ด๋ฏธ์ง€[:ํƒœ๊ทธ] ์ฐธ์กฐ ์ด๋ฏธ์ง€[:ํƒœ๊ทธ]ํƒœ๊ทธ ์„ค์ •์€ ์ƒˆ๋กœ์šด ์ฐธ์กฐ๋ช…์„ ๋ถ™์ด๋Š” ์ž‘์—…์ด๋ฏ€๋กœ ์ด๋ฏธ์ง€ ID๋Š” ๋ณ€๊ฒฝ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.Example์ด๋ฏธ์ง€ ID์— ์„ธ๋ถ€ ์ •๋ณด(OS, ๋ฒ„์ „ ๋“ฑ)๋ฅผ ๋ถ™์—ฌ ํƒœ๊ทธ ์ง€์ •:toby@tobykakao:~$ docker imagesREPOSITORY TAG IMAGE ID CREATED SIZEdebian latest d36fff645336 13 days ago 139MBnginx ..

โ˜๏ธ Cloud

[Docker] Docker ๋ช…๋ น์–ด ํ™œ์šฉ Part.1

Docker Container Service๋ฅผ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•œ Docker ๋ช…๋ น์–ด(CLI)์— ๋ฐํ•˜์—ฌ ์•Œ์•„๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.๋ชจ๋“  Docker ๋ช…๋ น์€ ํ‚ค์›Œ๋“œ๋กœ docker๋ฅผ ์•ž์— ์‚ฌ์šฉํ•˜๊ณ  ๊ธฐ๋ณธ์ ์ธ ๋ช…๋ น์–ด ์‚ฌ์šฉ๋ฒ•์€ help ๋ช…๋ น์„ ํ†ตํ•ด ํ™•์ธํ•˜๊ฑฐ๋‚˜ docker์—์„œ ์ œ๊ณตํ•˜๋Š” ๋ฌธ์„œ๋ฅผ ์ฐธ๊ณ ํ•ฉ๋‹ˆ๋‹ค.docker COMMAND -helpDocker image ๋ช…๋ น์–ด๋„์ปค image๋Š” docker์˜ ํ•ต์‹ฌ๊ธฐ์ˆ ์ด๋ฉฐ ์ฝ”๋“œ๋กœ ๊ฐœ๋ฐœ๋œ ์ปจํ…Œ์ด๋„ˆ ๋‚ด๋ถ€ ํ™˜๊ฒฝ ์ •๋ณด(Binary, Library, ๊ฐ์ข… Tool๋“ฑ)์„ ๊ณ ์Šค๋ž€ํžˆ ๋ณต์ œํ•ด์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Docker Container๋กœ ์‚ฌ์šฉํ•  Docker image๋Š” docker search๋ฅผ ํ†ตํ•ด ์กฐํšŒํ•˜๋ฉด Docker Hub ๋ฐ ๊ฐœ์ธ ์‚ฌ์šฉ์ž๋“ค์ด ๊ณต๊ฐœํ•œ ๊ด€๋ จ ์ด๋ฏธ์ง€๋ฅผ ์‚ดํŽด๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Local ..

๐Ÿ—ฃ๏ธ Large Language Model (LLM)

[LLM] Training language models to follow instructions with human feedback (Instruct GPT / RLHF) Review

์Šคํ„ฐ๋”” ์ค€๋น„๋ฅผ ํ•˜๋‹ค๊ฐ€ ์ •๋ฆฌํ•œ ๋‚ด์šฉ์„ ํ•œ๋ฒˆ Review๋ฅผ ํ•ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.Training language models to follow instructions with human feedbackAbstract์–ธ์–ด ๋ชจ๋ธ์˜ ํฌ๊ธฐ๋ฅผ ํ‚ค์šฐ๋Š” ๊ฒƒ๋งŒ์œผ๋กœ๋Š” ์‚ฌ์šฉ์ž ์˜๋„์— ๋” ์ž˜ ๋ถ€ํ•ฉํ•˜๋„๋ก ๋งŒ๋“œ๋Š” ๊ฒƒ์ด ์•„๋‹™๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์€ ์ง„์‹คํ•˜์ง€ ์•Š๊ฑฐ๋‚˜, ์œ ํ•ดํ•˜๊ฑฐ๋‚˜, ์‚ฌ์šฉ์ž์—๊ฒŒ ๋„์›€์ด ๋˜์ง€ ์•Š๋Š” ์ถœ๋ ฅ์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰, ์ด๋Ÿฌํ•œ ๋ชจ๋ธ์€ ์‚ฌ์šฉ์ž์˜ ์˜๋„์— ๋งž์ถฐ์ ธ ์žˆ์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ๋Š” ์ธ๊ฐ„์˜ ํ”ผ๋“œ๋ฐฑ์œผ๋กœ ๋ฏธ์„ธ ์กฐ์ •ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ž‘์—…์—์„œ ์‚ฌ์šฉ์ž ์˜๋„์™€ ์ผ์น˜ํ•˜๋Š” ์–ธ์–ด ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.OpenAI API๋ฅผ ํ†ตํ•ด ์ˆ˜์ง‘๋œ ๋ ˆ์ด๋ธ”๋Ÿฌ๊ฐ€ ์ž‘์„ฑํ•œ ํ”„๋กฌํ”„ํŠธ์™€ ๋ฐ๋ชจ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ์ด ์›ํ•˜๋Š” ๋™์ž‘์„ ์‹œ์—ฐํ•˜๋Š” ๋ฐ..

๐Ÿ—ฃ๏ธ Large Language Model (LLM)

[LLM] Improving Language Understanding by Generative Pre-Training (GPT-1 ๋…ผ๋ฌธ Review)

์ด๋ฒˆ์—” GPT-1 Model์— ๋ฐํ•˜์—ฌ ๋…ผ๋ฌธ์„ ์ฝ๊ณ  ๊ณต๋ถ€ํ•œ ๋‚ด์šฉ์„ ๋ฆฌ๋ทฐํ•ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.์ด ๋…ผ๋ฌธ์—์„œ๋Š” Transformer ๋ชจ๋ธ์— ๋ฐํ•œ ์„ค๋ช…์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ, ์–ด๋Š์ •๋„ Transformer Model์— ๋ฐํ•œ ์ง€์‹์ด ์ž‡์–ด์•ผ ์ดํ•ดํ•˜์‹ค์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•œ๋ฒˆ ์ฝ๊ณ  ์™€์ฃผ์„ธ์š”! [NLP] Transformer Model - ํŠธ๋žœ์Šคํฌ๋จธ ๋ชจ๋ธ ์•Œ์•„๋ณด๊ธฐ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” Transformer ๋ชจ๋ธ์˜ ์ „๋ฐ˜์ ์ธ Architecture ๋ฐ ๊ตฌ์„ฑ์— ๋ฐํ•˜์—ฌ ์•Œ์•„๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค. Transformer: Attention is All You Need Transformer ๋ชจ๋ธ์€ 2017๋…„์— "Attention is All You Need"๋ผ๋Š” ๋…ผ๋ฌธ์„ ํ†ตํ•ด์„œ ์†Œ๊ฐœ๋˜์—ˆ์Šตdaehyun-bigbread.tistory.comAbstract์ž์—ฐ์–ด ์ด..

๐Ÿ‘€ Computer Vision

[CV] Google Open Image Dataset

Google Open Image Dataset ์†Œ๊ฐœGoogle Open Images Dataset์€ ๊ตฌ๊ธ€์—์„œ ๊ณต๊ฐœํ•œ ๋Œ€๊ทœ๋ชจ์˜ ๊ณต๊ฐœ ์ด๋ฏธ์ง€ ๋ฐ์ดํ„ฐ์…‹์œผ๋กœ, ์ปดํ“จํ„ฐ ๋น„์ „ ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹ ์—ฐ๊ตฌ์— ๋„๋ฆฌ ํ™œ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฐ์ดํ„ฐ์…‹์€ ๋‹ค์–‘ํ•œ ์ฃผ์ œ์™€ ์ƒํ™ฉ์„ ๋‹ด์€ ์•ฝ 9๋ฐฑ๋งŒ ์žฅ ์ด์ƒ์˜ ์ด๋ฏธ์ง€๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์œผ๋ฉฐ, ๊ฐ ์ด๋ฏธ์ง€์—๋Š” ํ’๋ถ€ํ•œ ๋ ˆ์ด๋ธ” ์ •๋ณด๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.์ฃผ์š” ํŠน์ง•๋ฐฉ๋Œ€ํ•œ ๊ทœ๋ชจ: ์•ฝ 9๋ฐฑ๋งŒ ์žฅ ์ด์ƒ์˜ ์ด๋ฏธ์ง€์™€ 6์ฒœ์—ฌ ๊ฐœ์˜ ํด๋ž˜์Šค ๋ ˆ์ด๋ธ”์„ ํฌํ•จํ•˜๊ณ  ์žˆ์–ด, ๋Œ€๊ทœ๋ชจ ๋ชจ๋ธ ํ•™์Šต์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค.๋‹ค์–‘ํ•œ ๋ ˆ์ด๋ธ” ์ข…๋ฅ˜:์ด๋ฏธ์ง€ ๋ ˆ๋ฒจ ๋ ˆ์ด๋ธ”: ์ด๋ฏธ์ง€ ์ „์ฒด์— ๋Œ€ํ•œ ์ผ๋ฐ˜์ ์ธ ๋ถ„๋ฅ˜ ์ •๋ณด.๋ฐ”์šด๋”ฉ ๋ฐ•์Šค: ์ด๋ฏธ์ง€ ๋‚ด ๊ฐ์ฒด์˜ ์œ„์น˜์™€ ํฌ๊ธฐ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ์ขŒํ‘œ ์ •๋ณด.์ด๋ฏธ์ง€ ์„ธ๊ทธ๋ฉ˜ํ…Œ์ด์…˜ ๋งˆ์Šคํฌ: ํ”ฝ์…€ ๋‹จ์œ„๋กœ ๊ฐ์ฒด์˜ ์˜์—ญ์„ ํ‘œ์‹œ.๊ด€๊ณ„ ๋ ˆ์ด๋ธ”: ๊ฐ์ฒด ๊ฐ„์˜..

โ˜๏ธ Cloud

[Cloud] Docker Installation Check (๋„์ปค ์„ค์น˜ ํ™•์ธ)

ํ•œ๋ฒˆ ์„ค์น˜ํ•œ Docker Engine์„ ํ†ตํ•ด ์ฒซ image๋ฅผ ๋‹ค์šด๋กœ๋“œ ํ•ด๋ณด๋ฉด์„œ ์ปจํ…Œ์ด๋„ˆ ์„œ๋น„์Šค๋ฅผ ํ•œ๋ฒˆ ๊ฐ€๋™์‹œ์ผœ ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.Docker Container Service๋ฆฌ๋ˆ…์Šค ์ปจํ…Œ์ด๋„ˆ์˜ ๋ฏธ๋ž˜ ๋ผ๋Š” ์ œ๋ชฉ์œผ๋กœ ๋„์ปค ์—”์ง„์„ ์ฒ˜์Œ ๋ฐœํ‘œํ•œ ์†”๋กœ๋ชฌ ํ•˜์ต์Šค๋Š” docker ๋ผ๋Š” ์ƒˆ๋กœ์šด ๋ช…๋ น์œผ๋กœ ‘Hello World’ ๋ฌธ์ž์—ด์„ ์ถœ๋ ฅํ•˜๋Š” ๋ฐ๋ชจ๋ฅผ ํ•œ๋ฒˆ ์‹œ์—ฐํ–ˆ์Šต๋‹ˆ๋‹ค.# docker hub ๋ ˆ์ง€์ŠคํŠธ๋ฆฌ์—์„œ ์ œ๊ณตํ•˜๋Š” busy box image๋ฅผ ๋‹ค์šด๋กœ๋“œ ํ›„ ์กฐํšŒํ•ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.toby@tobykakao:~$ docker pull busyboxUsing default tag: latestlatest: Pulling from library/busyboxDigest: sha256:768e5c6f5cb6db0794eec98dc7a967f40..

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