๐Ÿ“ข ๊ฒ€์ƒ‰ ๊ธฐ๋Šฅ ์ถ”๊ฐ€ ์˜ˆ์ •

์ฃผ๋ฏผ๊ฑด

๊ธฐ๋ก = ์„ฑ์žฅ

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Diff-SVC์™€ ์ฐฝ์ž‘

์ œ๋กœ์ฝœ๋ผ ๊ฐ™์€ ๋Š๋‚Œ

์ œ๋กœ์ฝœ๋ผ์˜ ๋‹จ ๋ง›์ด ๊ฐ€์งœ ๋‹น์œผ๋กœ ๋Š๊ปด์ง€๋Š” ๊ฑฐ๋ผ ๋‡Œ๊ฐ€ ์„ญ์ทจํ•ด์•ผํ•  ๋‹น์„ ์–ป์ง€ ๋ชปํ•ด ์‹์š•์ด ์˜ค๋ฅด๋Š”๊ฑฐ์ฒ˜๋Ÿผ, AI ๋น…๋ฑ…์ด์ง€๋งŒ ์ง„์งœ ๋น…๋ฑ…์˜ ์ปด๋ฐฑํ• ๋งŒํ•œ ๊ณก์œผ๋กœ ๋น…๋ฑ…์„ ๋” ์›ํ•˜๊ฒŒ๋˜๊ณ  ๋” AI ๋น…๋ฑ…์˜ ๋…ธ๋ž˜์— ๋” ๋น ์ง€๊ฒŒ๋˜๋Š” ๋Š๋‚Œ = ์ฑ„์šธ ์ˆ˜ ์—†๋Š” ๊ณตํ—ˆํ•จ, ์ฑ„์›Œ์ง€์ง€ ์•Š๋Š” ํ—ˆ๊ธฐ

AI ์ปค๋ฒ„๊ณก์˜ ์ง„ํ™”

์—ฌํƒœ AI ๋…ธ๋ž˜๋“ค์€ ๋‹ค๋ฅธ ๊ฐ€์ˆ˜๊ฐ€ ๋ถ€๋ฅธ ์Œ์›์— ๋‚ด๊ฐ€ ์›ํ•˜๋Š” ๊ฐ€์ˆ˜๋ฅผ ์ž…ํžŒ ์ปจํ…์ธ ์˜€๋‹ค๋ฉด, AI ๋น…๋ฑ…์˜ ๋…ธ๋ž˜๋Š” ๋น…๋ฑ…์˜ ๋…ธ๋ž˜๋ฅผ ๋งŽ์ด ๋“ค์—ˆ๋˜ ํŒฌ์ด ๋น…๋ฑ… ๋Š๋‚Œ์˜ ๊ณก์„ ๋งŒ๋“ค๊ณ  ์ง์ ‘ ๋ถˆ๋Ÿฌ์„œ ๋งŒ๋“ค์—ˆ๋‹ค. ๋น…๋ฑ… ๊ฐœ๊ฐœ์ธ์˜ ์ฐฝ๋ฒ•์„ ๋”ฐ๋ผ์„œ ์ง์ ‘ ๋…น์Œํ•˜๊ณ  ์ž…ํ˜€์„œ ํ›จ์”ฌ ์ž์—ฐ์Šค๋Ÿฌ์šด ๋Š๋‚Œ์„ ์ค€๋‹ค.

์ด์   ๊ฐ€์ˆ˜์˜ ์ฐฝ๋ฒ•, ์Œ์ƒ‰์ด ์—ฐ์˜ˆ๊ธฐํš์‚ฌ์˜ IP๊ฐ€ ๋  ์ˆ˜๋„ ์žˆ์„๊ฑฐ ๊ฐ™๋‹ค. ํ•˜์ง€๋งŒ ์‚ฌ๋žŒ์ด ์ฃผ๋Š” ์ด์•ผ๊ธฐ๊ฐ€ ๊ณ๋“ค์—ฌ์ ธ์•ผ ๋…ธ๋ž˜๋ฅผ ๋“ฃ๊ณ  ๊ณต๊ฐํ•˜๊ณ  ๊นŠ์€ ๊ฐ์ •์„ ๊ณต์œ ํ•˜๊ณ  ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๊ธฐ์— ์‚ฌ๋žŒ์ด ์—†๋Š” ์Œ์•…์€ ์‚ฌ๋žŒ๋“ค์ด ์›ํ•˜์ง€ ์•Š์„ ๋“ฏ ํ•˜๋‹ค.

AI๊ฐ€ ์ฐฝ์ž‘์„ ํ•˜๋Š”๋ฐ์— ๋„์›€์„ ์ค„ ์ˆ˜ ์žˆ์–ด์„œ ์Œ์•…์„ ๋งŒ๋“ค์–ด๋‚ด๋Š” ๋‚œ์ด๋„๊ฐ€ ๋”์šฑ ์‰ฌ์›Œ์ง€๋ฉด, ๋” ๋‹ค์–‘ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ์ด์•ผ๊ธฐ๊ฐ€ ๋…ธ๋ž˜๋กœ ๋งŒ๋“ค์–ด์ง€์ง€ ์•Š์„๊นŒ์‹ถ๋‹ค.

23.08.29 (Tue)

23.08.28 (Mon)

23.08.27 (Sun)

Self-Alignment with Instruction Backtranslation
We present a scalable method to build a high quality instruction followinglanguage model by automatically labelling human-written text with correspondinginstructions. Our approach, named instruction backtranslation, starts with alanguage model finetuned on a small amount of seed data, and a givenโ€ฆ
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
We present $\textbf{Platypus}$, a family of fine-tuned and merged LargeLanguage Models (LLMs) that achieves the strongest performance and currentlystands at first place in HuggingFaceโ€™s Open LLM Leaderboard as of the releasedate of this work. In this work we describe (1) our curated dataset$\texโ€ฆ
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 hasbrought significant advancements in addressing math reasoning problems. Inparticular, OpenAIโ€™s latest version of GPT-4, known as GPT-4 Code Interpreter,shows remarkable performance on challenging math datasets. In this paperโ€ฆ
Teach LLMs to Personalize -- An Approach inspired by Writing Education
Personalized text generation is an emerging research area that has attractedmuch attention in recent years. Most studies in this direction focus on aparticular domain by designing bespoke features or models. In this work, wepropose a general approach for personalized text generation using largelโ€ฆ
Efficient Guided Generation for Large Language Models
In this article we show how the problem of neural text generation can beconstructively reformulated in terms of transitions between the states of afinite-state machine. This framework leads to an efficient approach to guidingtext generation with regular expressions and context-free grammars by alโ€ฆ

23.08.26 (Sat)

Facebook์— ๋กœ๊ทธ์ธ | Facebook
Facebook์— ๋กœ๊ทธ์ธํ•˜์„ธ์š”. ์นœ๊ตฌ, ๊ฐ€์กฑ, ์ง€์ธ๋“ค๊ณผ ํ•จ๊ป˜ ํ•˜๋Š” ์ฆ๊ฑฐ์šด Facebook ์ƒํ™œ์ด ์‹œ์ž‘๋ฉ๋‹ˆ๋‹ค.
๊พธ์ค€ํ•œ ํฅ๋ฏธ

์‹ ์ˆ˜์ • 8์›” 26์ผ ย ยท

์ฒœ์žฌ๋ฅผ ์ด๊ธฐ๋Š” ๋ฒ•(feat. ์ดํ˜„์„ธ)-

์ง€๋‚œ์ฃผ ๋ฐฑ๊ฐ•ํ˜„๊ตฐ๊ณผ ๊ณผ๊ธฐ๊ณ , ์ฒœ์žฌ์— ๋Œ€ํ•œ ์ด์•ผ๊ธฐ๊ฐ€ ํŽ˜๋ถ์— ๋งŽ์•˜๋‹ค. ์‚ฌ์‹ค, ํŽ˜๋ถ ๊ณต๊ฐ„์—๋„ ์ฒœ์žฌ, ์ˆ˜์žฌ๋“ค์ด ๊ฐ€๋“ํ•˜๋‹ค.

1. ์ดˆ๋“ฑ ํ•™๊ต ์‹œ์ ˆ, ๋‚˜๋Š” ์•ฝ๊ฐ„์˜ ๊ธ€์“ฐ๊ธฐ ์žฌ๋Šฅ์ด ์žˆ์—ˆ๋‹ค. ย ๋…ํ›„๊ฐ ๊ฒฝ์‹œ๋Œ€ํšŒ๋‚˜ ๊ธ€์ง“๊ธฐ ๋Œ€ํšŒ์— ๋Œ€ํ‘œ๋กœ ๋‚˜๊ฐ€๊ณ  ์ƒ๋„ ๋ฐ›๊ณค ํ–ˆ๋‹ค. ์ค‘ํ•™๊ต๋•Œ๋Š” ๋ฌธ์˜ˆ๋ฐ˜์— ๋“ค์–ด๊ฐ€์„œ ๊ธ€๋„ ์“ฐ๊ณ  ํ† ๋ก ๋„ ํ–ˆ๋‹ค. ์žฌ๋Šฅ์ด ์žˆ์œผ๋‹ˆ ๋ฌธํ•™์„ ํ•ด๋ณผ๊นŒ ํ•˜๋Š” ์ƒ๊ฐ๋„ ์žˆ์—ˆ๋‹ค.

๊ทธ๋Ÿฐ๋ฐ ์–ด๋Š ๋‚ , ย ๋ฐฑ์ผ์žฅ ์‹œ์ƒ์ž๋“ค์˜ ๊ธ€์ด ๊ฒŒ์žฌ๋œ ๊ต์ง€๋ฅผ ์ฝ๊ฒŒ ๋˜์—ˆ๋‹ค. ๊ทธ๋•Œ 1๋“ฑ ๊ธ€์„ ์ฝ์—ˆ๋‹ค. ํ•œ ์„ ๋ฐฐ์˜ ๊ฒƒ์ด์—ˆ๋‹ค. ๊ทธ๋•Œ ๋ฐ›์€ ์—„์ฒญ๋‚œ ์ถฉ๊ฒฉ์€ ์ง€๊ธˆ๊นŒ์ง€๋„ ๋‚จ์•„์žˆ๋‹ค. ๋‚ด๊ฐ€ ๊ฐํžˆ ํ‘œํ˜„ํ• ์ˆ˜ ์—†๋Š” ๋ฌธ์žฅ๋“ค๋กœ ๊ฐ€๋“ํ–ˆ๋‹ค. ์ƒ์ƒ๋ ฅ ๋˜ํ•œ ๊ธฐ๊ฐ€๋ง‰ํ˜”๋‹ค. ๋‚˜์™€ ์ผ๋…„ ์ฐจ์ด ๋ฐ–์— ์•ˆ๋˜๋Š”๋ฐ ๊ทธ๋Š” ์ตœ์†Œ 10๋…„์€ ์•ž์„œ ๋ณด์˜€๋‹ค. ์‹œ๊ฐ„์ด ์ง€๋‚œ๋‹ค๊ณ  ํ•ด๋„ ๋”ฐ๋ผ๊ฐˆ์ˆ˜ ์—†๊ฒ ๋‹ค๋Š” ๋Š๋‚Œ์ด์—ˆ๋‹ค. ์ด์— ย ์ขŒ์ ˆํ–ˆ๋‹ค. ๋‚ด๊ฐ€ ์“ด ๊ธ€์€ ์ดˆ๋ผํ•˜๊ธฐ ๊ทธ์ง€ ์—†์—ˆ๋‹ค. ๊ทธ๋‚  ๋‚˜๋Š” ๋ฌธ์˜ˆ๋ฐ˜์„ ํƒˆํ‡ดํ•˜๊ณ  ย ๋” ์ด์ƒ ๊ธ€์“ฐ๊ธฐ๋ฅผ ํ•˜์ง€ ย ์•Š์•˜๋‹ค.

2. ๋ฐ•์‚ฌ๊ณผ์ •์—์„œ ๊ณต๋ถ€ํ• ๋•Œ์˜€๋‹ค. ์‚ฌ์‹ค ์ค‘๊ณ ๋“ฑํ•™๊ต, ๋Œ€ํ•™, ๋Œ€ํ•™์› ๋‹ค๋‹๋•Œ ๋‚˜๋ณด๋‹ค ์„ฑ์ ์ด ์ข‹์€ ์นœ๊ตฌ๋“ค์€ ์ผ๋ถ€ ์žˆ์—ˆ์ง€๋งŒ ์ฒœ์žฌ๋ผ๊ณ  ์—ฌ๊ธธ ๋งŒํ•œ ์นœ๊ตฌ๋Š” ์—†์—ˆ๋‹ค. ์ด์— ๋ˆ„๊ตฐ๊ฐ€๋กœ ์ธํ•ด ์ขŒ์ ˆ์„ ๋Š๋‚€์ ์€ ์—†์—ˆ๊ณ  ๋ฐ•์‚ฌ๊ณผ์ • ์—ฐ๊ตฌ๋„ ๊ทธ๋ฆฌ ์–ด๋ ต์ง€ ์•Š์•„์„œ ์—ฌ์œ ๋กญ๊ฒŒ ํ–ˆ๋‹ค.๊ทธ๋Ÿฐ๋ฐ ๋‚ด๊ฒŒ ์ขŒ์ ˆ์„ ์ผ์œผํ‚ค๊ฒŒํ•œ ์™ธ๊ตญ์˜ ํ•œ ์ €๋ช…ํ•œ ๊ต์ˆ˜๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ทธ ๋ถ„์€ ๋‚ด๊ฐ€ ์—ฐ๊ตฌํ•˜๋Š” ๋ถ„์•ผ์˜ ์ค‘์š”ํ•œ ์ด๋ก ์„ ๋‹ค ์ •๋ฆฌํ•œ ๋ถ„์ด์—ˆ๋‹ค. ์ €๋ช…ํ•œ ์ˆ˜ํ•™์ž์ด์ž ๋ฌผ๋ฆฌํ•™์ž์ธ๋ฐ ๊ณตํ•™์€ ์‹ฌ์‹ฌํ•ด์„œ ์ž ์‹œ ํ•œ๋ฒˆ ์†์„ ๋Œ€๋ณธ๋“ฏ ํ–ˆ๋‹ค.

๊ทธ๋Ÿฐ๋ฐ ์ด ๋ถ„์•ผ ๋˜ํ•œ ํฌ๊ฒŒ ํ”๋“ค์–ด ๋†“์•˜๋‹ค. ์ด์— ๋‚˜๋Š” ๋งˆ์น˜ ๊ทธ๋ถ„์ด ์‹œ๊ฐ„์ด ์—†๊ฑฐ๋‚˜ ๊ท€์ฐฎ์•„์„œ ์†๋Œ€์ง€ ์•Š์€ ์ž‘์€ ๋นต๋ถ€์Šค๋Ÿฌ๊ธฐ๋‚˜ ๊ฐ€์ง€๊ณ  ๋…ธ๋Š” ๊ธฐ๋ถ„์ด์—ˆ๋‹ค. ์ดํ›„ ๋‚˜๋Š” ๋‹ค์ˆ˜ ์œ ์ˆ˜ ํ•™์ˆ ์ง€์—๋„ ๋…ผ๋ฌธ์„ ๋‚ด๊ณ  ๊ดœ์ฐฎ์€ ์„ฑ๊ณผ๋ฅผ ๊ฑฐ๋‘์—ˆ์ง€๋งŒ, "ํ•™์ž''๋กœ์„œ ๊ฒฝ์Ÿ๋ ฅ์ด ์—†๊ฒ ๋‹ค๋Š” ์ƒ๊ฐ์— ๊ต์ˆ˜์˜ ๊ธธ์„ ํฌ๊ธฐํ–ˆ๋‹ค.

3. ํ•œ์ฐธ์ด ์ง€๋‚œํ›„ ๋‚˜๋Š” ์ดํ˜„์„ธ์˜ '์ฒœ์žฌ๋ฅผ ์ด๊ธฐ๋Š” ๋ฒ•'์ด๋ž€ ๊ธ€์„ ์ฝ์—ˆ๋‹ค(์•„๋ž˜์— ์ธ์šฉ). ๋‚ด๊ฐ€ ๊ทธ๋ถ„์˜ ๊ธ€์„ ์ฝ์œผ๋ฉด์„œ ๋ฐœ๊ฒฌํ•œ ๊ฒƒ์€ ํฌ๊ธฐํ•˜๋Š” ์ด์œ ๋Š” ์ฒœ์žฌ ๋•Œ๋ฌธ๋„ ๋‚˜์˜ ๋ฏธ์•ฝํ•œ ์žฌ๋Šฅ ๋•Œ๋ฌธ๋„ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์ด์—ˆ๋‹ค. ๋‹จ์ง€, ย ๊ทธ ์ผ์— ๋Œ€ํ•œ ๋‚˜์˜ ์—ด์ •๊ณผ ์‚ฌ๋ž‘์ด ๊ทธ ์ขŒ์ ˆ์„ ์ด๊ธธ๋งŒํผ ํฌ์ง€ ์•Š์•˜๊ธฐ ๋•Œ๋ฌธ์ด๋ผ๋Š” ๊ฒƒ์ด์—ˆ๋‹ค.

4. ์ „ ์ธ๋ฅ˜ ์—ญ์‚ฌ์ƒ ์„ธ์ƒ์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ผ์นœ 5๋ช…์„ ๊ผฝ์œผ๋ผ๊ณ  ํ•ด๋„ '๋‹ค์œˆ'์€ ๊ทธ ์•ˆ์— ๋“ค์–ด๊ฐˆ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฐ๋ฐ ํฅ๋ฏธ๋กญ๊ฒŒ๋„ ๋‹ค์œˆ์€ ์ฒœ์žฌ๊ฐ€ ์•„๋‹ˆ์—ˆ๋‹ค๊ณ  ํ•œ๋‹ค. ์„ฑ๊ณตํ•œ ์˜์‚ฌ ์•„๋ฒ„์ง€ ์•„๋ž˜ ๋‘ ์•„๋“ค์ด ์žˆ์—ˆ๋Š”๋ฐ ๋‹ค์œˆ์˜ ํ˜•์ด ์ฒœ์žฌ์˜€๋‹ค๊ณ  ํ•œ๋‹ค. ๋‹ค์œˆ์˜ ์‚ฌ์ดŒ๋™์ƒ ๊ณจํŠผ ๋˜ํ•œ ์ฒœ์žฌ์˜€๋‹ค. ๋‹ค์œˆ์€ ์ฒœ์žฌ ํ˜•์—๊ฒŒ ์น˜์ด๋Š” ๋™์ƒ์ด์—ˆ์„ ๋ฟ์ด๋‹ค.

"๋Šฆ๊น์ด ์ฒœ์žฌ๋“ค์˜ ๋น„๋ฐ€"์ด๋ผ๋Š” ์ฑ…์„ ๋ณด๋ฉด ๋‹ค์œˆ์€ ์Šค์Šค๋กœ ์ด๋ ‡๊ฒŒ ๋งํ–ˆ๋‹ค. "๋‚˜๋Š” ํ‰๋ฒ”ํ•œ ์†Œ๋…„ ์ด์—ˆ๋‹ค.์ดํ•ด๋ ฅ๋„ ๋น ๋ฅด์ง€ ์•Š์•˜๋‹ค. ์ถ”์ƒ์ ์ธ ์‚ฌ๊ณ ๋ฅผ ๋”ฐ๋ผ๊ฐ€๋Š” ๋Šฅ๋ ฅ๋„ ๋ถ€์กฑํ–ˆ๋‹ค" ๊ทธ๋Š” ๊ทธ๋ฆฌ์Šค, ๋ผํ‹ด์–ด, ์ˆ˜ํ•™๋„ ๋ชปํ–ˆ๋‹ค. ๊ทธ๊ฐ€ ์œ ์ผํ•˜๊ฒŒ ์ข‹์•„ํ•œ๊ฒƒ์€ ์ž์—ฐ๊ด€์ฐฐ๊ณผ ์ƒ๋ฌผ์ˆ˜์ง‘์ด์—ˆ๋‹ค๊ณ  ํ•œ๋‹ค.

์•„๋ฒ„์ง€๋Š” ๊ทธ์—๊ฒŒ "๋„ˆ๋Š” ์Šค์Šค๋กœ์˜ ๋ช…์˜ˆ๋„ ๋จน์น ํ•˜๊ณ  ์šฐ๋ฆฌ ๊ฐ€์กฑ์—๋„ ๋ง์‹ ๊ฑฐ๋ฆฌ๋‹ค"๋ผ๊ณ  ํ•˜๋ฉฐ ๊ฒจ์šฐ ์˜๊ณผ๋Œ€ํ•™์— ๋ณด๋ƒˆ์œผ๋‚˜ ๋‹ค์œˆ์€ ์ค‘ํ‡ดํ•˜๊ณ  ๋ง์•˜๋‹ค.

์•„๋ฒ„์ง€๋Š” ๋‹ค์œˆ์ด ๋น„๊ธ€ํ˜ธํƒ์‚ฌ๋ฅผ ๊ฐ€๋Š”๋ฐ์—๋„ ๋ฐ˜๋Œ€ํ–ˆ๋‹ค.๋‹ค์œˆ์€ ๊ฒจ์šฐ ํ—ˆ๋ฝ์„ ๋“ํ•˜์—ฌ 5๋…„๊ฐ„ ๋น„๊ธ€ํ˜ธ ํƒ์‚ฌ๋ฅผ ํ•œ๋‹ค. ์ดํ›„ ์—ฐ๊ตฌ์— ์ „๋…ํ•œ๋‹ค. ๊ทธ๋Š” ์šฐ์งํ•˜๊ฒŒ ์•ผ์ƒ ๋™์‹๋ฌผ์„ ๊ด€์ฐฐํ•˜๋ฉฐ ํž˜๋“ค๊ณ  ๋‹จ์กฐ๋กœ์šด ์ž‘์—…์„ ์•…์ฐฉ๊ฐ™์ด ํ•ด๋‚ด์—ˆ๋‹ค. ย ๋”ฐ๊ฐœ๋น„ ์กฐ์‚ฌ ์—ฐ๊ตฌ๋งŒ 8๋…„์„ ์†Œ์š”ํ–ˆ๋‹ค.

5. ๋„์ฟ ์‹œ๋งˆ๋Œ€ํ•™์ด๋ผ๋Š” ์œ ๋ช…์น˜ ์•Š์€ ๋Œ€ํ•™์„ ๋‚˜์™€ ์ค‘์†Œ๊ธฐ์—… ์ง์žฅ์ธ์œผ๋กœ ์ผํ•˜๋ฉฐ ์—ฐ๊ตฌํ•˜๋‹ค๊ฐ€ LED๋กœ ๋…ธ๋ฒจ์ƒ์„ ์ˆ˜์ƒํ•œ ๋‚˜์นด๋ฌด๋ผ ์Šˆ์ง€๋„ "๋๊นŒ์ง€ ํ•ด๋‚ด๋Š” ํž˜" ์ฑ…์„ ๋ณด๋ฉด ์ด๋Ÿฐ๋ง์„ ํ–ˆ๋‹ค. "10๋…„ ์ด์ƒ ์•„์นจ๋ถ€ํ„ฐ ๋ฐค๊นŒ์ง€ ์šฉ์ ‘์„ ํ–ˆ๊ณ  ํ•œ๋‹ฌ์— ๋‘์„ธ๋ฒˆ์€ ํญ๋ฐœ์‚ฌ๊ณ ๊ฐ€ ์žˆ์—ˆ๋‹ค. ์‹คํ—˜์— ์‹คํ—˜์„ ๊ฑฐ๋“ญํ–ˆ๋‹ค. ๋Œ์•„๊ฐ€๋„ ์ข‹๋‹ค. ์„œํˆด๋Ÿฌ๋„ ์ข‹๋‹ค. ํ•˜๋‚˜๋ฅผ ์™„์„ฑํ•˜๋Š” ์ผ ๊ทธ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์•„๋ฌด๋ฆฌ ์ตœ์ฒจ๋‹จ ๊ธฐ์ˆ ์ด๋ผ๋„ ์žฅ์ธ๊ธฐ์ˆ ์ด๋ผ๋Š” ๊ธฐ์ˆ ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค. ํ•œ๊ฐ€์ง€์— ๊นŠ์ด ๋ชฐ๋‘ํ•ด์•ผ ํ˜์‹ ์ด ์ผ์–ด๋‚œ๋‹ค. ์šฐ๋ฆฌ ๋ชจ๋‘ ์•„์ธ์Šˆํƒ€์ธ์€ ๋ ์ˆ˜ ์—†์ง€๋งŒ ์—๋””์Šจ์€ ๋ ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•œ๋‹ค."

6. 'ํ‹€๋ฆฌ์ง€ ์•Š๋Š” ๋ฒ•'์—์„œ ์ €์ž์ธ ์ˆ˜ํ•™๊ต์ˆ˜ ์กฐ๋˜ ์—˜๋Ÿฐ๋ฒ„๊ทธ๋Š” ์ด๋ ‡๊ฒŒ ๋งํ•œ๋‹ค.
"์ˆ˜ํ•™์„ ๊ฐ€๋ฅด์น˜๋Š” ์„ ์ƒ์˜ ์ž…์žฅ์—์„œ ๊ฐ€์žฅ ์•ˆํƒ€๊นŒ์šด๊ฒƒ์€ ํ•™์ƒ๋“ค์ด '์ฒœ์žฌ์„ฑ ์‹ ์•™'์œผ๋กœ ์ธํ•ด ๋ง๊ฐ€์ง€๋Š”๊ฒƒ์ด๋‹ค. ๋งŽ์€ ์œ ๋งํ•œ ์ Š์€ ์ˆ˜ํ•™์ž๋“ค์ด ์ž๊ธฐ์•ž์— ๋›ฐ์–ด๋‚œ ์‚ฌ๋žŒ์ด ์žˆ๋‹ค๋Š” ์ด์œ ๋กœ ์ž์‹ ์ด ์ข‹์•„ํ•˜๋Š” ํ•™๋ฌธ์„ ํฌ๊ธฐํ•˜๋Š” ๋ชจ์Šต์„ ๋งค๋…„ ๋ณธ๋‹ค. ๋‚˜๋„ ์˜ˆ์ „์—๋Š” '๋…ธ๋ ฅ'์ด๋ž€ ๋ชจ์š•์ด๋ผ ์ƒ๊ฐํ–ˆ๋‹ค. ๋ˆ„๊ตฐ๊ฐ€์—๊ฒŒ ๋˜‘๋˜‘ํ•˜๋‹ค๊ณ  ๋งํ•ด์ค„์ˆ˜์—†์„๋•Œ ๋Œ€์‹  ๋งํ•ด์ฃผ๋Š” ํ‘œํ˜„์ด๋ผ ์—ฌ๊ฒผ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ '๋…ธ๋ ฅํ•˜๋Š” ๋Šฅ๋ ฅ', ์ฆ‰, ํ•˜๋‚˜์˜ ๋ฌธ์ œ์— ๊ด€์‹ฌ๊ณผ ์—๋„ˆ์ง€๋ฅผ ์ง‘์ค‘์‹œํ‚ค๊ณ  ๋˜ ๊ณ ๋ฏผํ•˜๊ณ  ๊ณ ๋ฏผํ•˜๋ฉฐ ๊ฒ‰์œผ๋กœ ๋šœ๋ ทํ•œ ๋ฐœ์ „์˜ ์‹ ํ˜ธ๊ฐ€ ๋ณด์ด์ง€ ์•Š๋Š”๋ฐ๋„ ๊ณ„์† ์ „์ง„ํ•˜๋Š” ๊ฒƒ์€ ์•„๋ฌด๋‚˜ ํ• ์ˆ˜ ์žˆ๋Š” ์ผ์ด ์•„๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด ์—†์ด ์ˆ˜ํ•™์„ ํ• ์ˆ˜ ์—†๋‹ค. ์ง€๊ธˆ, ๊ฐ™์ด ์ผํ•˜๋Š” ๋Œ€๋ถ€๋ถ„์˜ ํ›Œ๋ฅญํ•œ ์ˆ˜ํ•™์ž๋Š” ์–ด๋ ธ์„๋•Œ ์ˆ˜ํ•™๊ฒฝ์‹œ๋Œ€ํšŒ์—์„œ ๋‚ ๋ ธ๋˜ ์‚ฌ๋žŒ๋“ค์ด ์•„๋‹ˆ๋‹ค"

7. ๋ฌผ๋ก , ๋จธ๋ฆฌ๊นŒ์ง€ ๋›ฐ์–ด๋‚˜๋ฉด ์ข‹๊ฒ ์ง€๋งŒ, ย ์„ธ์ƒ์˜ ํš์„ ๊ธ‹๋Š” ์„ฑ์ทจ๋Š” ๋Œ€๊ฐœ '๋จธ๋ฆฌ'์™€ 'ํšจ์œจ'์—์„œ ๋‚˜์˜ค๋Š”๊ฒŒ ย ์•„๋‹ˆ๋ผ ์šฐ์งํ•œ '์—‰๋ฉ์ด'์—์„œ ๋‚˜์˜จ๋‹ค. ํŠน์ •๋ถ„์•ผ์— ๋Œ€ํ•œ ๊ฐ•๋ ฌํ•œ ๊ด€์‹ฌ, ๊ฐ•ํ•œ ํฅ๋ฏธ, ์ธ๋‚ด์™€ ๋ˆ๊ธฐ์—์„œ ๋‚˜์˜จ๋‹ค.

8. ์ง€์†ํ•˜๋Š” ํž˜๊ณผ ๋…ธ๋ ฅํ•˜๋Š” ๋Šฅ๋ ฅ์ด ์ฒœ์žฌ๋ฅผ ์ด๊ธด๋‹ค.

โ€ป๋‹ค์‹œ์ฝ๊ธฐ. ์ดํ˜„์„ธ์˜ '์ฒœ์žฌ๋ฅผ ์ด๊ธฐ๋Š” ๋ฒ•'--------

์‚ด๋‹ค ๋ณด๋ฉด ๊ผญ ํ•œ๋ฒˆ์€ ์žฌ์ˆ˜๊ฐ€ ์ข‹๋“ ์ง€ ๋‚˜์˜๋“ ์ง€ ์ฒœ์žฌ๋ฅผ ๋งŒ๋‚˜๊ฒŒ ๋œ๋‹ค. ๋Œ€๋‹ค์ˆ˜ ์šฐ๋ฆฌ๋“ค์€ ์ด ์ฒœ์žฌ์™€ ๊ฒฝ์Ÿํ•˜๋‹ค๊ฐ€ ์ƒ์ฒ˜ํˆฌ์„ฑ์ด๊ฐ€ ๋˜๋“ ์ง€, ์•„๋‹ˆ๋ฉด ์ž์‹ ์˜ ๊ธธ์„ ํฌ๊ธฐํ•˜๊ฒŒ ๋œ๋‹ค.

๊ทธ๋ฆฌ๊ณ  ํ‰์ƒ ์ฃผ๋ˆ… ๋“ค์–ด ์‚ด๋“ ์ง€, ์•„๋‹ˆ๋ฉด ์ž์‹ ์˜ ์ทจ๋ฏธ๋‚˜ ์žฌ๋Šฅ๊ณผ๋Š” ์ƒ๊ด€์—†๋Š” ์ง์—…์„ ๊ฐ€์ง€๊ณ  ํ‰์ƒ ๋ชป ๊ฐ€๋ณธ ๊ธธ์— ๋Œ€ํ•ด์„œ ๋™๊ฒฝํ•˜๋ฉฐ ์‚ฐ๋‹ค. ์ด์ฒ˜๋Ÿผ ์ž์‹ ์˜ ๋ถ„์•ผ์—์„œ ์ถ”์›”ํ•  ์ˆ˜ ์—†๋Š” ์ฒœ์žฌ๋ฅผ ๋งŒ๋‚œ๋‹ค๋Š” ๊ฒƒ์€ ๋”์ฐํ•˜๊ณ  ์ž”์ธํ•œ ์ผ์ด๋‹ค.

์–ด๋ฆด ๋•Œ ๋™๋„ค์—์„œ ๊ทธ๋ฆผ์— ๋Œ€ํ•œ ์‹ ๋™์ด ๋˜๊ณ , ํ•™๊ต์—์„œ ๋งŒํ™”์— ๋Œ€ํ•œ ์žฌ๋Šฅ์„ ์ธ์ •๋ฐ›์•„ ๋งŒํ™”๊ณ„์— ์ž…๋ฌธํ•ด์„œ ๋™๋ฃŒ๋“ค์„ ๋งŒ๋‚ฌ์„ ๋•Œ, ๋‚ด ์žฌ๋Šฅ์€ ๋„ํ† ๋ฆฌ ํ‚ค ์žฌ๊ธฐ๋ผ๋Š” ๊ฒƒ์„ ์•Œ์•˜๋‹ค.

๊ทธ ์ค‘์— ํ•œ๋‘ ๋ช…์˜ ์ฒœ์žฌ๋ฅผ ๋งŒ๋‚ฌ๋‹ค. ๋‚˜๋Š” ๋ถˆ๋ฉด์ฆ์— ์‹œ๋‹ฌ๋ฆด ์ •๋„๋กœ ๋งค์ผ๋งค์ผ ๋‚ ๋ฐค์„ ์ƒˆ์šฐ๋‹ค์‹œํ”ผ ๊ทธ๋ฆผ์„ ๊ทธ๋ฆฌ๋ฉฐ ์‚ด์•˜๋‹ค.

๋‚ด ์ž‘์—…์‹ค์€ ์ด์ธต ๋‹ค๋ฝ๋ฐฉ์ด์—ˆ๊ณ  ๋งค์ผ ๋‘๋ถ€์žฅ์ˆ˜ ์•„์ €์”จ์˜ ์ข…์†Œ๋ฆฌ๊ฐ€ ๋“ค๋ฆฌ๋ฉด ๋‚จ๋“ค์ด ์ž ์ž๋Š” ์‹œ๊ฐ„๋งŒํผ ๋‚˜๋Š” ๋” ์‚ด์•˜๋‹ค๋Š” ๋งŒ์กฑ๊ฐ์œผ๋กœ ๊ทธ์ œ์„œ์•ผ ์Œ“์ธ ์›๊ณ ์ง€๋ฅผ ์•ˆ๊ณ  ์ž ๋“ค๊ณค ํ–ˆ๋‹ค.

๊ทธ๋Ÿฌ๋‚˜ ๊ทธ ์นœ๊ตฌ๋Š” ํ•œ๋‹ฌ ๋‚ด๋‚ด ์ˆ ๋งŒ ๋งˆ์‹œ๊ณ  ์žˆ๋‹ค๊ฐ€๋„
๋ฉฐ์น  ํœ˜๊ฐˆ๊ฒจ์„œ ๊ฐ€์ ธ์˜ค๋Š” ์›๊ณ ๋กœ ๋‚ด ์›๊ณ ๋ฅผ ํœด์ง€๋กœ ๋งŒ๋“ค์–ด ๋ฒ„๋ ธ๋‹ค.

๋‚˜๋Š” ํƒ€๊ณ ๋‚œ ์žฌ๋Šฅ์— ๋Œ€ํ•ด ์›๋ง๋„ ํ•ด๋ณด๊ณ  ์ด๋ฅผ ์•…๋ฌผ๊ณ  ๊ทธ ์นœ๊ตฌ์™€ ๊ฒฝ์Ÿ๋„ ํ•ด ๋ดค์ง€๋งŒ ์‹œ๊ฐ„์ด ๊ฐˆ์ˆ˜๋ก ๋‚ด ์ƒ์ฒ˜๋งŒ ์ปค์ ธ๊ฐ”๋‹ค. ๋งŒํ™”์— ๋Œ€ํ•œ ํฅ๋ฏธ๊ฐ€ ์—†์–ด์ง€๊ณ  ์ž‘๊ฐ€๊ฐ€ ๋œ๋‹ค๋Š” ์ƒ๊ฐ์€ ์ ์  ๋ฉ€์–ด์กŒ๋‹ค.

๋‚ด๊ฒŒ๋„ ์ฃผ๋ˆ…์ด ๋“ค๊ณ  ์ƒ์ฒ˜ ์ž…์€ ๋งˆ์Œ์œผ๋กœ ํ˜„์‹ค๊ณผ ํƒ€ํ˜‘ํ•ด์„œ ์‚ฌํšŒ๋กœ ๋‚˜๊ฐ€์•ผ ๋  ์‹œ๊ฐ„์ด ์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‚˜๋Š” ๋งŒํ™”์— ๋ฏธ์ณ ์žˆ์—ˆ๋‹ค.

์ƒˆ ํ•™๊ธฐ๊ฐ€ ์—ด๋ฆฌ๋ฉด ์ด ์ฒœ์žฌ๋“ค๊ณผ ์‹ธ์›Œ์„œ ์ด๊ธฐ๋Š” ๋ฐฉ๋ฒ•์„ ํ•™์ƒ๋“ค์—๊ฒŒ ๊ผญ ๊ฐ•์˜ํ•œ๋‹ค. ๊ทธ๊ฒƒ์€ ์ฒœ์žฌ๋“ค๊ณผ ์ ˆ๋Œ€๋กœ ์ •๋ฉด์Šน๋ถ€๋ฅผ ํ•˜์ง€ ๋ง๋ผ๋Š” ๊ฒƒ์ด๋‹ค. ์ฒœ์žฌ๋ฅผ ๋งŒ๋‚˜๋ฉด ๋จผ์ € ๋ณด๋‚ด์ฃผ๋Š” ๊ฒƒ์ด ์ƒ์ฑ…์ด๋‹ค. ๊ทธ๋Ÿฌ๋ฉด ์ƒ์ฒ˜ ์ž…์„ ํ•„์š”๊ฐ€ ์—†๋‹ค.

์ž‘๊ฐ€์˜ ๊ธธ์€ ์žฅ๊ฑฐ๋ฆฌ ๋งˆ๋ผํ†ค์ด์ง€ ๋‹จ๊ฑฐ๋ฆฌ ์Šน๋ถ€๊ฐ€ ์•„๋‹ˆ๋‹ค. ์ฒœ์žฌ๋“ค์€ ํ•ญ์ƒ ๋จผ์ € ๊ฐ€๊ธฐ ๋งˆ๋ จ์ด๊ณ , ๋จผ์ € ๊ฐ€์„œ ๋’ค๋Œ์•„๋ณด๋ฉด ์„ธ์ƒ์‚ด์ด๊ฐ€ ์‹œ์‹œํ•œ ๋ฒ•์ด๊ณ , ๊ทธ๋ฆฌ๊ณ  ์–ด๋Š ๋‚  ์‹ ์˜ ๋ฒฝ์„ ๋งŒ๋‚˜ ๋ฒ„๋ฆฐ๋‹ค.

์ธ๊ฐ„์ด ์ ˆ๋Œ€๋กœ ๋„˜์„ ์ˆ˜ ์—†๋Š” ์‹ ์˜ ๋ฒฝ์„ ๋งŒ๋‚˜๋ฉด ์ฒœ์žฌ๋Š” ์ขŒ์ ˆํ•˜๊ณ  ๋ฐฉํ™ฉํ•˜๊ณ  ์Šค์Šค๋กœ๋ฅผ ํŒŒ๊ดดํ•œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ข…๋‚ด๋Š” ํ•  ์ผ์„ ์žƒ๊ณ  ๋ฉˆ์ถฐ์„œ ๋ฒ„๋ฆฐ๋‹ค.

์ด์ฒ˜๋Ÿผ ์ฒœ์žฌ๋ฅผ ๋จผ์ € ๋ณด๋‚ด๋†“๊ณ  10๋…„์ด๋“  20๋…„์ด๋“  ์ž์‹ ์ด ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ƒ๊ฐ์œผ๋กœ ํ•˜๋ฃจํ•˜๋ฃจ๋ฅผ ๊พธ์ค€ํžˆ ๊ฑท๋‹ค ๋ณด๋ฉด ์–ด๋Š ๋‚  ๋ฉˆ์ถฐ๋ฒ„๋ฆฐ ๊ทธ ์ฒœ์žฌ๋ฅผ ์ถ”์›”ํ•ด์„œ ์ง€๋‚˜๊ฐ€๋Š” ์ž์‹ ์„ ๋ณด๊ฒŒ ๋œ๋‹ค. ์‚ฐ๋‹ค๋Š” ๊ฒƒ์€ ๊ธด๊ธด ์„ธ์›”์— ๊ฑธ์ณ ํ•˜๋Š” ์žฅ๊ฑฐ๋ฆฌ ์Šน๋ถ€์ด์ง€ ์ ˆ๋Œ€๋กœ ๋‹จ๊ฑฐ๋ฆฌ ์Šน๋ถ€๊ฐ€ ์•„๋‹ˆ๋‹ค.

๋งŒํ™”๋ฅผ ์ง€๋งํ•˜๋Š” ํ•™์ƒ๋“ค์€ ๊ทธ๋ฆผ์„ ์ž˜ ๊ทธ๋ฆฌ๊ณ  ์‹ถ์–ดํ•œ๋‹ค. ๊ทธ๋ ‡๋‹ค๋ฉด ๋งค์ผ๋งค์ผ ์Šค์ผ€์น˜๋ถ์„ ๋“ค๊ณ  10์žฅ์˜ ํฌ๋กœํ‚ค๋ฅผ ํ•˜๋ฉด ๋œ๋‹ค. 1๋…„์ด๋ฉด 3500์žฅ์„ ๊ทธ๋ฆฌ๊ฒŒ ๋˜๊ณ  10๋…„์ด๋ฉด 3๋งŒ 5000์žฅ์˜ ํฌ์ฆˆ๋ฅผ ์žก๊ฒŒ ๋œ๋‹ค. ๊ทธ ์†์—๋Š” ์˜จ๊ฐ– ์ธ๊ฐ„์˜ ์ž์„ธ์™€ ํŒจ์…˜๊ณผ ํ’๊ฒฝ์ด ์žˆ๋‹ค.

ํ•œ๋งˆ๋””๋กœ ์ด ์„ธ์ƒ์—์„œ ๊ทธ๋ ค๋ณด์ง€ ์•Š์€ ๊ฒƒ์€ ๊ฑฐ์˜ ์—†๋Š” ๊ฒƒ์ด๋‹ค. ๊ฑฐ๊ธฐ์—๋‹ค ์ข‹์€ ๊ธ€๋„ ์“ฐ๊ณ  ์‹ถ๋‹ค๋ฉด, ๋งค์ผ๋งค์ผ ์ผ๊ธฐ๋ฅผ ์“ฐ๊ณ  ๋ฉ”๋ชจ๋ฅผ ํ•˜๋ฉด ๋œ๋‹ค. ๊ฐ€์žฅ ์ •์งํ•˜๊ฒŒ ๋‚ด๋ฉด ์„ธ๊ณ„๋ฅผ ํŒŒ๊ณ  ๋“ค์–ด๊ฐ€๋Š” ์„ค๋“๋ ฅ๊ณผ ์˜จ๊ฐ– ์ƒ์ƒ์˜ ์•„์ด๋””์–ด์™€ ์ค„๊ฑฐ๋ฆฌ๋ฅผ ๊ฐ–๊ฒŒ ๋œ๋‹ค.

์ž์‹ ๋งŒ์ด ๊ฒฝํ—˜ํ•œ ๊ฐ€์žฅ ์ง„์†”ํ•œ ์ด์•ผ๊ธฐ๋Š” ๋ชจ๋‘์—๊ฒŒ ๊ฐ๋™์„ ์ค€๋‹ค. ๋งŒํ™”๊ฐ€ ์ด๋‘ํ˜ธ ์„ ์ƒ์€ ํ•ญ์ƒ โ€œ๋งŒํ™”๋Š” ์—‰๋ฉ์ด๋กœ ๊ทธ๋ฆฐ๋‹ค.โ€๋ผ๊ณ 
ํ›„๋ฐฐ๋“ค์—๊ฒŒ ์กฐ์–ธํ•œ๋‹ค. ์ด ๋ง์€ ์–ธ์ œ๋‚˜ ๋‚ด๊ฒŒ ๊ฐ๋™์„ ์ค€๋‹ค. ํ‰์ƒ์„ ์ž‘๊ฐ€๋กœ์„œ ์ƒํ™œํ•˜๋ ค๋ฉด ์ง€์น˜์ง€ ์•Š๋Š” ์ง‘์ค‘๋ ฅ๊ณผ ์ง€๊ตฌ๋ ฅ๋ณด๋‹ค ๋” ์ค‘์š”ํ•œ ๊ฒƒ์€ ์—†๋‹ค.

๊ฐ€๋” ์ง€๊ตฌ๋ ฅ ์žˆ๋Š” ์ฒœ์žฌ๋„ ์žˆ๋‹ค. ๊ทธ๋Ÿฐ ์ฒœ์žฌ๋Š” ์กด์žฌํ•˜๋Š” ๊ฒƒ๋งŒ์œผ๋กœ๋„ ์ถ•๋ณต์ด๊ณ  ๋ณด๋Š” ๊ฒƒ๋งŒ์œผ๋กœ๋„ ๊ฐ์‚ฌํ•˜๋‹ค. ๊ทธ๋Ÿฐ ์ฒœ์žฌ๋“ค์€ ๋„ˆ๋ฌด๋‚˜ ๋งŽ์€ ์ฆ๊ฑฐ์›€๊ณผ ํ˜œํƒ์„ ์šฐ๋ฆฌ์—๊ฒŒ ์ฃผ๊ณ  ์šฐ๋ฆฌ๋“ค์˜ ๊ฐˆ ๊ธธ์„ ์ œ์‹œํ•ด ์ค€๋‹ค. ๋‚˜๋Š” ๊ทธ๋Ÿฐ ์ฒœ์žฌ๋“ค๊ณผ ๋™์‹œ๋Œ€๋ฅผ ์‚ฐ๋‹ค๋Š” ๊ฒƒ๋งŒ ํ•ด๋„ ๊ฐ€์Šด ๋ฒ…์ฐจ๊ฒŒ ํ–‰๋ณตํ•˜๋‹ค.

๋‚˜ ๊ฐ™์€ ์‚ฌ๋žŒ์€ ๊ทธ์ € ์ž ๋“ค๊ธฐ ์ „์— ํ•œ ์žฅ์˜ ๊ทธ๋ฆผ๋งŒ ๋” ๊ทธ๋ฆฌ๋ฉด ๋œ๋‹ค. ํ•ด ์ง€๊ธฐ ์ „์— ๋”ฑ ํ•œ ๊ฑธ์Œ๋งŒ ๋” ๊ฑท๋‹ค๋ณด๋ฉด ์–ด๋Š ๋‚  ๋‚ด ์ž์‹ ์ด ๋ฐ”๋ผ๋˜ ๋ชจ์Šต๊ณผ ๋งŒ๋‚˜๊ฒŒ ๋  ๊ฒƒ์ด๋‹ค. ๊ทธ๊ฒƒ์ด ์ •์ƒ์ด๋“ , ์‚ฐ์ค‘ํ„ฑ์ด๋“  ๋‚ด๊ฐ€ ์›ํ•˜๋Š” ๊ฒƒ์€ ๋‚ด๊ฐ€ ๋ฐ”๋ผ๋˜ ๋งŒํผ๋งŒ ์žˆ์œผ๋ฉด ๋˜๋Š” ๊ฒƒ์ด๋‹ค.

๋.

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