๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

๋ถ„๋ฅ˜ ์ „์ฒด๋ณด๊ธฐ168

IFRS, ISSB, KSSB์˜ ์ฐจ์ด์  ๐ŸŒ IFRS, ISSB, KSSB์˜ ์ฐจ์ด์  ๋ฐ ESG ๊ธฐ์ค€ ๋ช…์นญIFRS, ISSB, KSSB๋Š” ๊ฐ๊ฐ์˜ ๋ชฉ์ ๊ณผ ๊ด€ํ•  ์˜์—ญ์„ ๊ฐ€์ง„ ๊ธฐ์ค€ ์ œ์ • ๊ธฐ๊ด€ ๋˜๋Š” ๊ธฐ์ค€์ž…๋‹ˆ๋‹ค.IFRS, ISSB, KSSB์˜ ์ฐจ์ด์ ๊ตฌ๋ถ„IFRS (International Financial Reporting Standards)ISSB (International Sustainability Standards Board)KSSB (Korea Sustainability Standards Board)์„ฑ๊ฒฉ๊ตญ์ œํšŒ๊ณ„๊ธฐ์ค€ (์žฌ๋ฌด ๊ณต์‹œ)๊ตญ์ œ ์ง€์†๊ฐ€๋Šฅ์„ฑ ๊ณต์‹œ ๊ธฐ์ค€ ์ œ์ • ๊ธฐ๊ตฌํ•œ๊ตญ ์ง€์†๊ฐ€๋Šฅ์„ฑ ๊ธฐ์ค€ ์œ„์›ํšŒ (๊ตญ๋‚ด ๊ธฐ์ค€ ์ œ์ • ๊ธฐ๊ตฌ)์ฃผ์š” ์˜์—ญ๊ธฐ์—…์˜ ์žฌ๋ฌด ์ƒํƒœ์™€ ๊ฒฝ์˜ ์„ฑ๊ณผ์— ๋Œ€ํ•œ ์ •๋ณด ๊ณต์‹œ๊ธฐ์—…์˜ ์ง€์†๊ฐ€๋Šฅ์„ฑ ๊ด€๋ จ ์žฌ๋ฌด ์ •๋ณด ๊ณต์‹œ (ESG ๋“ฑ)ํ•œ๊ตญํ˜• ์ง€์†๊ฐ€๋Šฅ์„ฑ ๊ณต์‹œ ๊ธฐ์ค€ .. 2026. 2. 21.
65์ผ์ฐจ. 260114 RTX 3050 vram 6 , ์—‘์‚ฌ์›์ด ๋„ˆ๋ฌด ๋А๋ ค์„œ , ๋” ๊ฒฝํ–ฅํ™” ๋ชจ๋ธ๋กœ ๋ณ€๊ฒฝํ•ฉ๋‹ˆ๋‹ค. hf download monologg/koelectra-small-v3-discriminator ๐ŸŽ‰ ๋„ค, **์™„์ „ํžˆ ์„ฑ๊ณต**ํ–ˆ์Šต๋‹ˆ๋‹ค! ํ„ฐ๋ฏธ๋„ ์ถœ๋ ฅ์„ ๋ณด๋ฉด: ```powershell hf download monologg/koelectra-small-v3-discriminator Fetching 5 files: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 5/5 [00:00C:\Users\hi\.cache\huggingface\hub\models--monologg--koelectra-small-v3-discriminator\snapshots\7488f8db0f208beff.. 2026. 1. 16.
65์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ MCP ์—์„œ ํŒ๋ณ„๊ธฐ ์™€ ํŒ๋…๊ธฐ ๊ฐœ๋…์— ๋Œ€ํ•ด ์„ค๋ช…ํ•ด์ค˜. MCP์—์„œ์˜ **ํŒ๋ณ„๊ธฐ(Discriminator)**์™€ ํŒ๋…๊ธฐ(Decoder/Reader) ๊ฐœ๋… ์„ค๋ช…MCP๋ผ๋Š” ์šฉ์–ด๋Š” ๋ถ„์•ผ์— ๋”ฐ๋ผ ์˜๋ฏธ๊ฐ€ ์กฐ๊ธˆ์”ฉ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์ง€๋งŒ,๋ณดํ†ต ์‹ ํ˜ธ ์ฒ˜๋ฆฌ·AI·๋จธ์‹ ๋Ÿฌ๋‹·ํŒจํ„ด ์ธ์‹ ๊ณ„์—ด์—์„œ ์ด์•ผ๊ธฐํ•˜์‹ค ๋•Œ๋Š”์ •๋ณด๋ฅผ ๊ตฌ๋ถ„ํ•˜๋Š” ์—ญํ• ๊ณผ ์˜๋ฏธ๋ฅผ ํ•ด์„ํ•˜๋Š” ์—ญํ• ์„ ๋‚˜๋ˆ  ์„ค๋ช…ํ•˜๋Š” ๋งฅ๋ฝ์ด ๋งŽ์Šต๋‹ˆ๋‹ค.์ด ๊ธฐ์ค€์—์„œ ํŒ๋ณ„๊ธฐ์™€ ํŒ๋…๊ธฐ๋ฅผ ์ •๋ฆฌํ•ด ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.1๏ธโƒฃ ํŒ๋ณ„๊ธฐ(Discriminator)๋ž€?๐Ÿ”น ํ•œ ์ค„ ์š”์•ฝ์ž…๋ ฅ๋œ ์ •๋ณด๊ฐ€ ‘๋ฌด์—‡์ธ์ง€’๋ฅผ ๊ตฌ๋ถ„·ํŒ๋‹จํ•˜๋Š” ์—ญํ• ๐Ÿ”น ํ•ต์‹ฌ ๊ฐœ๋…ํŒ๋ณ„๊ธฐ๋Š” ๋“ค์–ด์˜จ ์‹ ํ˜ธ๋‚˜ ๋ฐ์ดํ„ฐ๊ฐ€A์ธ์ง€ B์ธ์ง€์ •์ƒ์ธ์ง€ ์ด์ƒ์ธ์ง€์ง„์งœ์ธ์ง€ ๊ฐ€์งœ์ธ์ง€์ฒ˜๋Ÿผ ๋ถ„๋ฅ˜·๊ตฌ๋ถ„·ํŒ๋‹จํ•˜๋Š” ๋ฐ ์ดˆ์ ์ด ์žˆ์Šต๋‹ˆ๋‹ค.๐Ÿ”น ํŠน์ง•๊ฒฐ๊ณผ๋Š” ๋ณดํ†ต ์ด์‚ฐ์ (Yes/No, ํด๋ž˜์Šค ๋ฒˆํ˜ธ)ํŒ๋‹จ ๊ธฐ.. 2026. 1. 16.
61์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ n8n์€ ํ•œ๋งˆ๋””๋กœ ๋งํ•˜๋ฉด๐Ÿ‘‰ **“์ฝ”๋“œ ์—†์ด(๋˜๋Š” ์ตœ์†Œํ•œ์˜ ์ฝ”๋“œ๋กœ) ์—ฌ๋Ÿฌ ์•ฑ·์„œ๋น„์Šค๋ฅผ ์ž๋™์œผ๋กœ ์—ฐ๊ฒฐํ•ด ์ฃผ๋Š” ์›Œํฌํ”Œ๋กœ ์ž๋™ํ™” ๋„๊ตฌ”**์ž…๋‹ˆ๋‹ค.1๏ธโƒฃ n8n์˜ ์ •์ฒด์ด๋ฆ„ ๋œป: node-to-node์„ฑ๊ฒฉ: ์˜คํ”ˆ์†Œ์Šค ์›Œํฌํ”Œ๋กœ ์ž๋™ํ™” ํ”Œ๋žซํผ์—ญํ• :“A๊ฐ€ ์ผ์–ด๋‚˜๋ฉด → B ์‹คํ–‰ → ์กฐ๊ฑด์— ๋”ฐ๋ผ C ๋˜๋Š” D ์‹คํ–‰”Zapier, Make(Integromat)์™€ ๊ฐ™์€ ๊ณ„์—ด์ด์ง€๋งŒ ๊ฐœ๋ฐœ์ž ์นœํ™”์ ์ด๊ณ  ์ž์ฒด ์„œ๋ฒ„ ์„ค์น˜ ๊ฐ€๋Šฅํ•œ ๊ฒƒ์ด ํฐ ์ฐจ์ด์ž…๋‹ˆ๋‹ค.2๏ธโƒฃ n8n์œผ๋กœ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ๋“ค์˜ˆ์‹œ๋กœ ๋ณด๋ฉด ๋ฐ”๋กœ ๊ฐ์ด ์™€์š” ๐Ÿ‘‡๐Ÿ”น ์ž๋™ํ™” ์˜ˆ์‹œ๊ตฌ๊ธ€ ํผ ์ œ์ถœ →Notion์— ์ €์žฅ →์Šฌ๋ž™ ์•Œ๋ฆผ ์ „์†ก์ด๋ฉ”์ผ ์ˆ˜์‹  →์ฒจ๋ถ€ํŒŒ์ผ ๋ถ„์„ →ChatGPT๋กœ ์š”์•ฝ →๊ฒฐ๊ณผ๋ฅผ ์—‘์…€/DB์— ์ €์žฅAPI ํ˜ธ์ถœ →๋ฐ์ดํ„ฐ ๊ฐ€๊ณต →๋Œ€์‹œ๋ณด๋“œ์šฉ ๋ฐ์ดํ„ฐ ์ƒ์„ฑ3๏ธโƒฃ ํ•ต์‹ฌ ๊ตฌ์„ฑ ๊ฐœ๋…n8n์€ .. 2026. 1. 9.
60์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ esg ์™€ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI ์™€์˜ ๊ด€๊ณ„๋Š” ๋ฌด์—‡์ธ๊ฐ€ ? ๋ณด์—ฌ์ฃผ์‹  ๋ถ„์„์€ ESG์™€ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI์˜ ๊ด€๊ณ„๋ฅผ ๋‹จ์ˆœํ•œ '๋„๊ตฌ' ๊ด€๊ณ„๋ฅผ ๋„˜์–ด '์šด์˜ ์ฒด์ œ(OS)์™€ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜'์˜ ๊ด€๊ณ„๋กœ ์ •ํ™•ํ•˜๊ฒŒ ์งš์–ด๋‚ด์…จ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ํŒ”๋ž€ํ‹ฐ์–ด์˜ ์˜จํ†จ๋กœ์ง€ ๊ฐœ๋…์„ ๋นŒ๋ ค ESG๋ฅผ "๊ฐ์ฒด ๊ทธ๋ž˜ํ”„ ์œ„์˜ ์ •์ฑ… ๋ ˆ์ด์–ด"๋กœ ์ •์˜ํ•œ ๋ถ€๋ถ„์€ ๋งค์šฐ ํ†ต์ฐฐ๋ ฅ ์žˆ์Šต๋‹ˆ๋‹ค.์ž‘์„ฑํ•˜์‹  ๋‚ด์šฉ์„ ๋ฐ”ํƒ•์œผ๋กœ, ํ˜„์žฌ ์ง„ํ–‰ ์ค‘์ธ ๊ฐœ๋ฐœ ํ”„๋กœ์ ํŠธ์™€ ์—ฐ๊ฒฐํ•˜์—ฌ ํ•ต์‹ฌ์ ์ธ ์—ฐ๊ฒฐ ๊ณ ๋ฆฌ๋ฅผ ์„ธ ๊ฐ€์ง€๋กœ ์š”์•ฝํ•ด ๋ณด์•˜์Šต๋‹ˆ๋‹ค.1. ๋ฐ์ดํ„ฐ์˜ '์‹ ๋ขฐ์„ฑ(Provenance)'๊ณผ '์ถ”์  ๊ฐ€๋Šฅ์„ฑ(Lineage)'ESG ๊ณต์‹œ์—์„œ ๊ฐ€์žฅ ๋ฌด์„œ์šด ๊ฒƒ์€ '๊ทธ๋ฆฐ์›Œ์‹ฑ(Greenwashing)' ๋…ผ๋ž€์ž…๋‹ˆ๋‹ค. ๋‹จ์ˆœํžˆ ์ˆซ์ž๋ฅผ ์ œ์‹œํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, **"์ด ์ˆซ์ž๊ฐ€ ์–ด๋–ค ๊ณ„์•ฝ์„œ, ์–ด๋–ค ์„ผ์„œ, ์–ด๋–ค ์Šน์ธ ๊ณผ์ •์„ ๊ฑฐ์ณ ์‚ฐ์ถœ๋˜.. 2026. 1. 8.
59์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ ๐Ÿš€ 1. JWT๋ž€ ๋ฌด์—‡์ธ๊ฐ€?JSON Web Token (JWT) ์€ ์„œ๋ฒ„์™€ ํด๋ผ์ด์–ธํŠธ ๊ฐ„์— ์ธ์ฆ·์ธ๊ฐ€ ์ •๋ณด๋ฅผ ์•ˆ์ „ํ•˜๊ฒŒ ์ „๋‹ฌํ•˜๊ธฐ ์œ„ํ•œ ํ‘œ์ค€ ํ† ํฐ ํฌ๋งท์ž…๋‹ˆ๋‹ค.JWT๋Š” ์„ธ ๋ถ€๋ถ„์œผ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค:Header (์‚ฌ์šฉ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋“ฑ ์ •๋ณด)Payload (ํด๋ ˆ์ž„ ์ •๋ณด)Signature (์„œ๋ช…)์ด๋ฅผ ํ†ตํ•ด ์„œ๋ฒ„๋Š” ํ† ํฐ์„ ๊ฒ€์ฆํ•˜์—ฌ ์‚ฌ์šฉ์ž ๊ถŒํ•œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์œ„ํ‚ค๋ฐฑ๊ณผโš ๏ธ 2. JWT์˜ ๋Œ€ํ‘œ์ ์ธ ๋ณด์•ˆ ์ทจ์•ฝ์  ๋ฐ ๊ณต๊ฒฉ ๊ธฐ๋ฒ•JWT๊ฐ€ ๋„๋ฆฌ ์“ฐ์ด์ง€๋งŒ, ๋ถ€์ ์ ˆํ•œ ๊ตฌํ˜„/์„ค์ •์œผ๋กœ ์ธํ•ด ๋‹ค์–‘ํ•œ ๊ณต๊ฒฉ์— ๋…ธ์ถœ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.๐Ÿ”“ 2-1. ์„œ๋ช… ์•Œ๊ณ ๋ฆฌ์ฆ˜ ํ˜ผ๋™ (Algorithm Confusion)๊ณต๊ฒฉ์ž๊ฐ€ JWT ํ—ค๋”์˜ alg ๊ฐ’์„ ์กฐ์ž‘ํ•ด, RS256 → HS256 ๋“ฑ ๋‹ค๋ฅธ ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๋ณ€๊ฒฝํ•˜์—ฌ ์„œ๋ช… ๊ฒ€์ฆ์„ ์šฐํšŒํ•˜๋Š” ๊ณต๊ฒฉ์ด ์‹ค์ œ๋กœ ๋ณด๊ณ ๋˜.. 2026. 1. 7.
58์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ ๋ฌด์ƒํƒœ ํ”„๋กœ๊ทธ๋ž˜๋ฐ โœ… ๋ฌด์ƒํƒœ ํ”„๋กœ๊ทธ๋ž˜๋ฐ(Stateless Programming)์ด๋ž€?๋ฌด์ƒํƒœ ํ”„๋กœ๊ทธ๋ž˜๋ฐ์ด๋ž€,๐Ÿ‘‰ ํ”„๋กœ๊ทธ๋žจ(๋˜๋Š” ํ•จ์ˆ˜, ์„œ๋ฒ„)์ด ์ด์ „ ์ž‘์—…์˜ ์ƒํƒœ(state)๋ฅผ ๊ธฐ์–ตํ•˜์ง€ ์•Š๊ณ ,๐Ÿ‘‰ ๋งค ์š”์ฒญ๋งˆ๋‹ค ํ•„์š”ํ•œ ๋ชจ๋“  ์ •๋ณด๋ฅผ ํ•จ๊ป˜ ๋ฐ›์•„ ์ฒ˜๋ฆฌํ•˜๋Š” ๋ฐฉ์‹์„ ๋งํ•ฉ๋‹ˆ๋‹ค.์‰ฝ๊ฒŒ ๋งํ•ด **“๊ณผ๊ฑฐ๋Š” ์žŠ๊ณ , ์ง€๊ธˆ ๋“ค์–ด์˜จ ๊ฒƒ๋งŒ ๋ณด๊ณ  ์ผํ•˜๋Š” ๋ฐฉ์‹”**์ž…๋‹ˆ๋‹ค.๐Ÿ” ํ•ต์‹ฌ ์š”์•ฝ์ƒํƒœ(State): ์ด์ „ ์‹คํ–‰์—์„œ ์ €์žฅํ•ด ๋‘” ๋ฐ์ดํ„ฐ๋ฌด์ƒํƒœ(Stateless): ์ด์ „ ์ƒํƒœ๋ฅผ ์ „ํ˜€ ์ €์žฅํ•˜์ง€ ์•Š์Œ๊ฒฐ๊ณผ๋Š” ํ•ญ์ƒ ์ž…๋ ฅ๊ฐ’์—๋งŒ ์˜์กด๊ฐ™์€ ์ž…๋ ฅ → ํ•ญ์ƒ ๊ฐ™์€ ์ถœ๋ ฅ(๋งˆ์น˜ ์ˆ˜ํ•™ ํ•จ์ˆ˜์ฒ˜๋Ÿผ ๋™์ž‘)๐Ÿง  ์ผ์ƒ์ ์ธ ๋น„์œ ๋กœ ์ดํ•ดํ•˜๊ธฐ๐Ÿ“Œ ๋ฌด์ƒํƒœ ํ”„๋กœ๊ทธ๋ž˜๋ฐํŽธ์˜์  ์•Œ๋ฐ”์ƒ์ด ๋งค ์†๋‹˜๋งˆ๋‹ค ์ด๋ ‡๊ฒŒ ์ผํ•˜๋Š” ๊ฒฝ์šฐ์ž…๋‹ˆ๋‹ค.“์ €๋Š” ์ด์ „ ์†๋‹˜์ด ๋ญ˜ ์ƒ€๋Š”์ง€ ๋ชฐ๋ผ์š”.์†๋‹˜์ด ๊ณ ๋ฅธ ๋ฌผ๊ฑด๋งŒ ๊ณ„์‚ฐํ•ฉ.. 2026. 1. 6.
[๋ณธ์„  ์ง„์ถœ] ์ œ์ฃผ.AWS ๊ธ€๋กœ๋ฒŒ ์ŠคํŽ˜์ด์Šค ์ฑŒ๋ฆฐ์ง€ ํ•ด์ปคํ†ค ์ œ์ฃผ.AWS ๊ธ€๋กœ๋ฒŒ ์ŠคํŽ˜์ด์Šค ์ฑŒ๋ฆฐ์ง€ ํ•ด์ปคํ†ค์€ ์œ„์„ฑ.์šฐ์ฃผ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ๊ธฐํ›„ ๋Œ€์‘, ์‚ฐ์—….์ƒํ™œ ์„œ๋น„์Šค, ๋ฏธ๋ž˜ ์šฐ์ฃผ์‚ฐ์—… ํ™•์žฅ ์ „๋žต์„ ๋ชจ์ƒ‰ํ•˜๋Š” ํ•ด์ปคํ†ค์ž…๋‹ˆ๋‹ค. โ— ๋Œ€ํšŒ ์ •๋ณด- ์˜ˆ์„  : 2025. 11. 24.(์›”) ~ 12. 16.(ํ™”), ์˜จ๋ผ์ธ- ๋ณธ์„  : 2025. 12. 17.(์ˆ˜) ~ 12. 29.(์›”), ์˜จ๋ผ์ธ- ๊ฒฐ์„  : 2026. 2. 2.(์›”). ~ 2. 4.(์ˆ˜), ์ œ์ฃผํ•œ๋ผ๋Œ€ํ•™๊ต ํ•œ๋ผ์ปจ๋ฒค์…˜์„ผํ„ฐโ€‹โ— ์ฃผ์ œ1. ๊ธฐํ›„ · ์—๋„ˆ์ง€ ์œ„๊ธฐ ๋Œ€์‘์„ ์œ„ํ•œ ์œ„์„ฑ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ ํƒ์ƒ‰2. ์ƒํ™œ · ์‚ฐ์—… ํ˜„์žฅ์—์„œ ํ™œ์šฉ ๊ฐ€๋Šฅํ•œ ์œ„์„ฑ ๊ธฐ๋ฐ˜ ์„œ๋น„์Šค ๋ชจ๋ธ ํƒ์ƒ‰3. ๋ฏธ๋ž˜ ์šฐ์ฃผ์‚ฐ์—… ํ™•์žฅ์„ ์œ„ํ•œ ํ˜์‹ ์  ๊ธฐ์ˆ  · ์„œ๋น„์Šค ๋ฐฉํ–ฅ์„ฑ ํƒ์ƒ‰ โ— ํŠธ๋ž™โ‘  AWS ๊ธฐ๋ฐ˜ ์šฐ์ฃผํ•ญ๊ณต ์†”๋ฃจ์…˜ ๊ฐœ๋ฐœ (Tech Track)โ‘ก ์šฐ์ฃผํ•ญ๊ณต ๋น„์ฆˆ๋‹ˆ์Šค .. 2025. 12. 31.
[์ˆ˜์ƒ]์ง€์—ญ์ผ์ž๋ฆฌ๋งต ํ™œ์šฉ ์‚ฌ๋ก€ ์ˆ˜๊ธฐ ๊ณต๋ชจ์ „-์žฅ๋ ค์ƒ โœ… ์ง€์—ญ์ผ์ž๋ฆฌ๋งต ํ™œ์šฉ ์‚ฌ๋ก€ ์ˆ˜๊ธฐ ๊ณต๋ชจ์ „ โ€‹โœ…๐Ÿ“ข์ง€์—ญ์ผ์ž๋ฆฌ๋งต๊ณผ ํ•จ๊ป˜ ์ฐพ์•„๋‚ธ ๋‹น์‹ ์˜ ์ด์•ผ๊ธฐ์— ๊ท€ ๊ธฐ์šธ์ž…๋‹ˆ๋‹ค!โ€‹โœ”๏ธ ๊ณต๋ชจ ๋Œ€์ƒ : ์ง€์—ญ์ผ์ž๋ฆฌ๋งต ์ด์šฉ ๊ฒฝํ—˜์ด ์žˆ๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ ๊ตญ๋ฏผ ๋ˆ„๊ตฌ๋‚˜โ€‹โœ”๏ธ โ€‹๊ณต๋ชจ ๊ธฐ๊ฐ„ : 2025. 11. 17. (์›”) ~ 2025. 12. 17. (์ˆ˜) (๊ธฐ๊ฐ„ ๋‚ด ์ด๋ฉ”์ผ ์ ‘์ˆ˜ ์™„๋ฃŒ ๊ฑด์— ํ•œํ•จ)โ€‹โœ”๏ธ โ€‹โ€‹๊ณต๋ชจ์ฃผ์ œ : ์ง€์—ญ์ผ์ž๋ฆฌ๋งต์˜ ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ ๊ธฐ๋Šฅ ๋ฐ์ดํ„ฐ ํ™œ์šฉ ์‚ฌ๋ก€(์ž์œ ์ฃผ์ œ)โœ”๏ธ ๋ฌธ์˜ ๋ฐ ์ œ์ถœ์ฒ˜ : reimhelp@keis.or.krโœ”๏ธ ๊ฒฐ๊ณผ ๋ฐœํ‘œ : 2025. 12์›” ์ค‘ (์ง€์—ญ์ผ์ž๋ฆฌ๋งต ํ™ˆํŽ˜์ด์ง€ ํ™ˆํŽ˜์ด์ง€ ๊ณต์ง€ ๋ฐ ์ˆ˜์ƒ์ž ๊ฐœ๋ณ„ ํ†ต๋ณด)โœ”๏ธ ์‹œ ์ƒ ๋‚ด ์šฉ 1. ์ตœ์šฐ์ˆ˜์ƒ : ์ƒ์žฅ ๋ฐ ์ƒ๊ธˆ 50๋งŒ์›, 1๋ช… 2. ์šฐ ์ˆ˜ ์ƒ : ์ƒ์žฅ ๋ฐ ์ƒ๊ธˆ 30๋งŒ์›, 3๋ช… 3. ์žฅ ๋ ค .. 2025. 12. 31.
Effectivity and adsorption mechanism of food waste biochar for triclosan removal: a spectroscopic and experimental approach AbstractFood waste from households and restaurants was pyrolyzed to food waste biochar (FWB), and it was used for triclosan (TCS) removal from aqueous solutions. Food waste thermally treated at 300 °C (FWB-300) showed higher adsorption potential than samples treated at higher temperatures (450–750 °C), because of its increased specific surface area and abundant functional groups for hydrogen bon.. 2025. 12. 31.
Application of response surface methodology and artificial neural network for the preparation of Fe-loaded biochar for enhanced Cr(VI) adsorption and its physicochemical properties and Cr(VI) adsorption characteristics AbstractIn this study, we optimized and explored the effect of the conditions for synthesizing Fe-loaded food waste biochar (Fe@FWB) for Cr(VI) removal using the response surface methodology (RSM) and artificial neural network (ANN). The pyrolysis time, temperature, and Fe concentration were selected as the independent variables, and the Cr(VI) adsorption capacity of Fe@FWB was maximized. RSM an.. 2025. 12. 31.
Fe-loaded biochar obtained from food waste for enhanced phosphate adsorption and its adsorption mechanism study via spectroscopic and experimental approach AbstractThe re-utilization of food waste is an eco-friendly method for valorizing waste. In this study, food waste was blended with iron (Fe-FW) and optimized using the response surface methodology (RSM) to produce Fe-loaded food waste biochar (Fe-FWB); moreover, the waste was utilized to probe the adsorption of phosphate in water, where pyrolysis time (1.0, 2.5, and 4.0 h), temperature (300, 45.. 2025. 12. 31.
Valorization of food waste via surface modification by loading Fe to obtain an adsorbent for Cr(V) removal AbstractFe-loaded food waste (Fe-FW) utilization is an environmentally friendly and effective approach for eliminating Cr(VI). FW was blended with iron to enhance its adsorption capacity for Cr(VI) removal from aqueous solutions. The Fe-FW was characterized by examining its elemental composition, specific surface area, morphological properties, functional groups, and zeta potential. The Cr(VI) a.. 2025. 12. 31.
51์ผ์ฐจ. ๊ฐœ๋… ์ •๋ฆฌ ๐Ÿค– RNN๊ณผ CNN์˜ ์ฐจ์ด์ , ์ดˆ๋ณด์ž๋„ ์ดํ•ดํ•˜๊ธฐ ์‰ฝ๊ฒŒ ์„ค๋ช…ํ•ด ๋“œ๋ฆด๊ฒŒ์š”์ธ๊ณต์ง€๋Šฅ์„ ์ฒ˜์Œ ์ ‘ํ•˜์‹œ๋ฉด RNN, CNN ๊ฐ™์€ ์šฉ์–ด๊ฐ€ ๊ฐ€์žฅ ํ—ท๊ฐˆ๋ฆฌ์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.๊ฑฑ์ • ๋งˆ์„ธ์š” ๐Ÿ˜Š ํ•ต์‹ฌ๋งŒ ์žก์•„์„œ, ๋น„์œ  ์ค‘์‹ฌ์œผ๋กœ ์„ค๋ช…๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.โœจ ํ•œ ์ค„ ์š”์•ฝCNN ๐Ÿ‘‰ “์‚ฌ์ง„์ฒ˜๋Ÿผ ๊ณต๊ฐ„ ๊ตฌ์กฐ๋ฅผ ๋ณด๋Š” ๋ฐ ๊ฐ•ํ•จ”RNN ๐Ÿ‘‰ “๊ธ€์ด๋‚˜ ๋ง์ฒ˜๋Ÿผ ์‹œ๊ฐ„ ์ˆœ์„œ๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐ ๊ฐ•ํ•จ”๐Ÿง  CNN (ํ•ฉ์„ฑ๊ณฑ ์‹ ๊ฒฝ๋ง, Convolutional Neural Network)๐Ÿ“Œ CNN์€ ์ด๋Ÿฐ ๋ฐ ์ž˜ ์จ์š”์‚ฌ์ง„ ์† ์‚ฌ๋žŒ ์–ผ๊ตด ์ธ์‹๊ณ ์–‘์ด vs ๊ฐ•์•„์ง€ ๊ตฌ๋ถ„์†๊ธ€์”จ ์ˆซ์ž ํŒ๋ณ„๐Ÿงฉ ์–ด๋–ป๊ฒŒ ์ž‘๋™ํ• ๊นŒ์š”?CNN์€ ์ด๋ฏธ์ง€๋ฅผ ์ž‘์€ ์กฐ๊ฐ(ํŒจํ„ด) ์œผ๋กœ ๋‚˜๋ˆ ์„œ ๋ด…๋‹ˆ๋‹ค.๐Ÿ‘‰ ๋งˆ์น˜…์‹ ๋ฌธ ์‚ฌ์ง„์„ ๋ณผ ๋•Œ“๋ˆˆ → ์ฝ” → ์ž…”์ด๋Ÿฐ ์‹์œผ๋กœ ๋ถ€๋ถ„๋ถ€ํ„ฐ ์ „์ฒด๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ๊ณผ ๋น„์Šทํ•ฉ๋‹ˆ๋‹ค.๐Ÿ–ผ๏ธ ๋น„์œ ๋กœ ์ดํ•ด.. 2025. 12. 24.
51์ผ์ฐจ. ์—ฌ๊ธฐ์„œ๋งŒ ์ปค์„œ ์—ด๊ธฐ 251224 ์†๊ธ€์”จ MNIST ๋ฅผ ํŒŒ์ดํ† ์น˜๋กœ ๊ตฌํ˜„ํ•˜๊ธฐ. ์—ฌ๊ธฐ์„œ ์•Œ์ง‘์œผ๋กœ ๋‹ค์šด๋ฐ›๊ธฐMNIST Dataset MNIST DatasetThe MNIST database of handwritten digits (http://yann.lecun.com)www.kaggle.com ๋‹ˆ์ŠคํŠธ | TensorFlow Datasets ๋‹ˆ์ŠคํŠธ | TensorFlow Datasets์ด ํŽ˜์ด์ง€๋Š” Cloud Translation API๋ฅผ ํ†ตํ•ด ๋ฒˆ์—ญ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹ˆ์ŠคํŠธ ์ปฌ๋ ‰์…˜์„ ์‚ฌ์šฉํ•ด ์ •๋ฆฌํ•˜๊ธฐ ๋‚ด ํ™˜๊ฒฝ์„ค์ •์„ ๊ธฐ์ค€์œผ๋กœ ์ฝ˜ํ…์ธ ๋ฅผ ์ €์žฅํ•˜๊ณ  ๋ถ„๋ฅ˜ํ•˜์„ธ์š”. ์†์œผ๋กœ ์“ด ์ˆซ์ž์˜ MNIST ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์ž…๋‹ˆ๋‹ค. ๋‚˜www.tensorflow.org ํ…์„œํ”Œ๋กœ ์ฐธ์กฐ ๋งํฌ ์•Œ์ง‘ ๋ฐ›์€ ๊ฒƒ ์ค‘์— ์ด๋ ‡๊ฒŒ ํ•˜๊ธฐ ์šฐ์„  ๊ณต ํŒŒ์ผ๊ณผ ํด.. 2025. 12. 24.
๐Ÿ”ฐ ์„œ๋ก  (Introduction) & ๐Ÿ”š ๊ฒฐ๋ก  (Conclusion) ๐Ÿ”ฐ ์„œ๋ก  (Introduction)์ œ์ฃผ์˜ ํƒ„์†Œ์ค‘๋ฆฝ์€ ‘๋ฐœ์ „๋Ÿ‰’์ด ์•„๋‹ˆ๋ผ ‘์šด์˜ ๋Šฅ๋ ฅ’์˜ ๋ฌธ์ œ๋‹ค์ œ์ฃผ๋„๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ์—์„œ ๊ฐ€์žฅ ๋น ๋ฅด๊ฒŒ ์žฌ์ƒ์—๋„ˆ์ง€ ์ „ํ™˜์„ ๊ฒฝํ—˜ํ•˜๊ณ  ์žˆ๋Š” ์ง€์—ญ์ž…๋‹ˆ๋‹ค.์ด๋ฏธ ํƒœ์–‘๊ด‘๊ณผ ํ’๋ ฅ ๋ฐœ์ „ ๋น„์ค‘์€ ์ „๊ตญ ์ตœ๊ณ  ์ˆ˜์ค€์— ๋„๋‹ฌํ–ˆ์œผ๋ฉฐ,๊ทธ ๊ฒฐ๊ณผ “์žฌ์ƒ์—๋„ˆ์ง€๊ฐ€ ๋ถ€์กฑํ•œ ๋ฌธ์ œ”๊ฐ€ ์•„๋‹ˆ๋ผ“์žฌ์ƒ์—๋„ˆ์ง€๋ฅผ ์–ด๋–ป๊ฒŒ ํ™œ์šฉํ•  ๊ฒƒ์ธ๊ฐ€”๋ผ๋Š” ์ƒˆ๋กœ์šด ๋ฌธ์ œ์— ์ง๋ฉดํ•ด ์žˆ์Šต๋‹ˆ๋‹ค.๊ทธ๋Ÿฌ๋‚˜ ํ˜„์‹ค์€ ๋‹จ์ˆœํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.์žฌ์ƒ์—๋„ˆ์ง€๊ฐ€ ๋งŽ์ด ์ƒ์‚ฐ๋˜๋Š” ์‹œ๊ฐ„๋Œ€์—๋Š” ๊ณ„ํ†ต ํ˜ผ์žก๊ณผ ์ถœ๋ ฅ ์ œํ•œ์ด ๋ฐœ์ƒํ•˜๊ณ ,์ž‰์—ฌ ์ „๋ ฅ์€ ๋ฒ„๋ ค์ง€๊ฑฐ๋‚˜ ๋น„ํšจ์œจ์ ์œผ๋กœ ์ฒ˜๋ฆฌ๋ฉ๋‹ˆ๋‹ค.ํ•œํŽธ, ๊ธฐํ›„์œ„๊ธฐ์˜ ์˜ํ–ฅ์œผ๋กœ ์ œ์ฃผ ์ง€์—ญ์€์ง‘์ค‘ํ˜ธ์šฐ·์นจ์ˆ˜·๊ธฐํ›„ ์žฌ๋‚œ์— ๋”์šฑ ์ทจ์•ฝํ•ด์ง€๊ณ  ์žˆ์œผ๋ฉฐ,์žฌ์ƒ์—๋„ˆ์ง€ ์„ค๋น„์™€ ํƒ„์†Œ์ €๊ฐ ์ธํ”„๋ผ ์—ญ์‹œ ๊ธฐํ›„ ๋ฆฌ์Šคํฌ์— ๋…ธ์ถœ๋œ ์ž์‚ฐ์ด ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.์ฆ‰, ์ œ์ฃผ์˜ ๋ฌธ์ œ๋Š” ๋” ์ด์ƒ“์žฌ์ƒ์—๋„ˆ์ง€๋ฅผ ์–ผ.. 2025. 12. 20.
49์ผ์ฐจ. AWS์ ‘์†ํ•ด์„œ ์œ„์— ๋กœ๊ทธ์ธ ๋จผ์ €ํ•˜๊ณ  ์ฝ˜์†”๋กœ๊ทธ์ธ ํ•ด์•ผํ•จ! ๋‹ค์‹œ AWS์— ์˜ฌ๋ ค์„œ ๋ณต์‚ฌ ๋‚ด์šฉ ๋ฐ”๋€œ @backend/app ์ด FASTAPI ๋ฅผ EC2์— ์—…๋กœ๋“œํ•ด์„œ, restful api ๋กœ ๋ฐฐํฌํ•˜๊ณ  ์‹ถ์–ด. ๊นƒํ—ˆ๋ธŒ ์•ก์…˜์€ ์ด๋ฏธ์ง€์ฒ˜๋Ÿผ ์„ค์ •์ด ์™„๋ฃŒ๋˜์—ˆ์–ด. ์ดํ›„ CICD ๋กœ ๋ฐฐํฌํ•˜๋Š” ๊ณผ์ •์„ ์„ค๋ช…ํ•ด์ค˜. ์ผ๋‹จ ํ‚ค๊ฐ€ ๋ฐ”๊ปด์„œ ๊ทธ๊ฑฐ ๋จผ์ € ํด๋กœ๋“œํ•œํ…Œ ์ž…๋ ฅํ•˜๊ธฐ!!! ssh -i "labzang.pem" ubuntu@ec2-3-**-233-152.ap-northeast-2.compute.amazonaws.com ์—ฌ๊ธฐ์—์„œ ec2 ํ˜ธ์ŠคํŠธ๋ฅผ ์ถ”์ถœํ•ด์ค˜ ํ•œ์นธ ๋„์šฐ๊ณ  ํ•ด์•ผํ•จ! @backend/app ์ด ํ”„๋กœ์ ํŠธ๋ฅผ CPU๋กœ EC2์— ์˜ฎ๊ธฐ๊ณ  ์‹ถ์–ด. ์–ด๋А ํด๋”์— ์œ„์น˜์‹œํ‚ค๋Š” ๊ฒƒ์ด ๊ฐ€์žฅ ์ข‹์€ ์ „๋žต์ธ๊ฐ€? ์บก์ณํ•ด์„œ ๋ฌผ์–ด๋ณด๊ธฐ ๋‚˜์˜ค.. 2025. 12. 19.
47์ผ์ฐจ. ํ”„๋กœ์ ํŠธ์— ๋งž์ถฐ์„œ AI ๋ชจ๋ธ ์„ ํƒํ•˜๊ณ  ์„ค์ •ํ•˜๊ธฐ rtx 3050์—์„œ ์ฝ”์•ŒํŒŒ์นด๋ฅผ ํŽ˜ํ”„ํŠธ๋กœ ํ•™์Šตํ•˜๋ ค๊ณ  ํ•ด. Polyglot-Ko 5.8B๋‚˜ Llama-2-ko 7B ์ค‘์—์„œ ์–ด๋А ๊ฒƒ์„ ์ถ”์ฒœํ•˜๋Š”๊ฐ€ ? ๐Ÿ“Œ 3. ์–ธ์ œ ์–ด๋–ค ๋ชจ๋ธ์„ ์„ ํƒํ•ด์•ผ ํ• ๊นŒ?โœ… ํ•œ๊ตญ์–ด ์ค‘์‹ฌ ์ž‘์—… ์šฐ์„ ์ด๋ผ๋ฉด๐Ÿ‘‰ Polyglot-Ko 5.8Bํ•œ๊ตญ์–ด ์ƒ์„ฑ/๋Œ€ํ™”/๋ฌธํ™”์  ๋งฅ๋ฝ ํฌํ•จํ•œ ํ…์ŠคํŠธ ์ƒ์„ฑํ•œ๊ตญ์–ด NLP task (์š”์•ฝ, ๊ฐ์ •๋ถ„์„, ๋ช…๋ น ์ˆ˜ํ–‰ ๋“ฑ) ์ค‘์‹ฌโœ… ๋” ๋„“์€ ํ™œ์šฉ, ๋‹ค๊ตญ์–ด ๋˜๋Š” ๋ณตํ•ฉ ์ž‘์—…์ด๋ผ๋ฉด๐Ÿ‘‰ Llama-2-Ko 7B์˜์–ด + ํ•œ๊ตญ์–ด ํ˜ผํ•ฉ ์ž…๋ ฅ/์ถœ๋ ฅ๊ธฐ์ˆ  ๋ฌธ์„œ ์š”์•ฝ, ์ฝ”๋“œ/์ง€์‹ ์งˆ๋ฌธ, ๋‹ค์ค‘ task๐Ÿ“Œ 4. ์„ฑ๋Šฅ/ํšจ์œจ์„ฑ ์š”์•ฝํ•ญ๋ชฉPolyglot-Ko 5.8BLlama-2-Ko 7Bํ•œ๊ตญ์–ด ํŠนํ™”โญโญโญโญโญโญโญ๋‹ค๊ตญ์–ด ์ง€์›โญโญโญโญโญโญ๋ฒ”์šฉ ํ…์ŠคํŠธ ์ƒ์„ฑโญโญโญโญโญโญโญModel Scale5.8B7Bํ˜„์กด .. 2025. 12. 18.
[์นด๋“œ๋‰ด์Šค] AI์™€ ํƒ„์†Œ์ค‘๋ฆฝ ์†, ์šธ์‚ฐ์˜ ์ผ์ž๋ฆฌ๋Š” ์–ด๋””๋กœ ๊ฐ€๊ณ  ์žˆ๋Š”๊ฐ€? ๋ณธ ์ฝ˜ํ…์ธ ๋Š” ๊ณ ์šฉ๋…ธ๋™๋ถ€ ‘์ง€์—ญ์ผ์ž๋ฆฌ๋งต’์˜ ์‚ฐ์—…๋ณ„·์ง์—…๋ณ„ ๊ณ ์šฉ ๊ตฌ์กฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ์šธ์‚ฐ์˜ ๊ณ ์šฉ ์ทจ์•ฝ ๊ตฌ์กฐ๋ฅผ ๋ถ„์„ํ•œ ์‚ฌ๋ก€์ž…๋‹ˆ๋‹ค. ์šธ์‚ฐ์€ ์ž๋™์ฐจ·์กฐ์„ ·์„์œ ํ™”ํ•™ ์‚ฐ์—…์„ ์ค‘์‹ฌ์œผ๋กœ ์„ฑ์žฅํ•ด์˜จ ๋Œ€ํ‘œ์ ์ธ ์‚ฐ์—… ๋„์‹œ์ž…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ํƒ„์†Œ์ค‘๋ฆฝ ์ •์ฑ…๊ณผ AI·์ž๋™ํ™” ํ™•์‚ฐ์ด ๋ณธ๊ฒฉํ™”๋˜๋ฉด์„œ, ๊ธฐ์กด ์ผ์ž๋ฆฌ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ• ์ง€์— ๋Œ€ํ•œ ๊ณ ๋ฏผ์ด ์ปค์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ์ œ์กฐ์—… ๋น„์ค‘์ด ๋†’์€ ์šธ์‚ฐ์˜ ํŠน์„ฑ์„ ๊ณ ๋ คํ•ด, AI ๊ธฐ๋ฐ˜ ๋ถ„์„์„ ํ†ตํ•ด ๊ณ ์šฉ ๊ฐ์†Œ ์œ„ํ—˜ ์ง๋ฌด์™€ ์ „ํ™˜ ๊ฐ€๋Šฅํ•œ ํ™˜๊ฒฝ·๊ทธ๋ฆฐ ์ผ์ž๋ฆฌ ๊ฒฝ๋กœ๋ฅผ ์‹œ๊ฐํ™”ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฒˆ ์นด๋“œ๋‰ด์Šค๋Š” ๊ณ ์šฉ๋…ธ๋™๋ถ€ ‘์ง€์—ญ์ผ์ž๋ฆฌ๋งต’ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ์šธ์‚ฐ์˜ ๊ณ ์šฉ ๊ตฌ์กฐ๋ฅผ ์‚ดํŽด๋ณด๊ณ , AI ๋ถ„์„์„ ํ†ตํ•ด ์‚ฌ๋ผ์งˆ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์€ ์ผ์ž๋ฆฌ์™€ ์ „ํ™˜ ๊ฐ€๋Šฅํ•œ ๊ทธ๋ฆฐ ์ผ์ž๋ฆฌ ๊ฒฝ๋กœ๋ฅผ ์ •๋ฆฌํ•œ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค. ์‚ฌ๋ผ์ง€๋Š” ์ผ์ž๋ฆฌ๋งŒ ์ด์•ผ๊ธฐํ•˜.. 2025. 12. 17.
[ํ™๋ณด] ์ง€์—ญ์ผ์ž๋ฆฌ๋งต๊ณผ AI๋กœ ๋ณธ ์šธ์‚ฐ์˜ ๋ฏธ๋ž˜ ์ผ์ž๋ฆฌ: ํƒ„์†Œ์ค‘๋ฆฝ ์ „ํ™˜ ์† ๊ณต์ •์ „ํ™˜(Just Transition) ์‚ฌ๋ก€ ์ง€์—ญ์ผ์ž๋ฆฌ๋งต๊ณผ AI๋กœ ๋ณธ ์šธ์‚ฐ์˜ ๋ฏธ๋ž˜ ์ผ์ž๋ฆฌ: ํƒ„์†Œ์ค‘๋ฆฝ ์ „ํ™˜ ์† ๊ณต์ •์ „ํ™˜(Just Transition) ์‚ฌ๋ก€ ์ตœ๊ทผ ์šธ์‚ฐ ๋‰ด์Šค์—์„œ ์ž๋™์ฐจ, ์กฐ์„ , ์„์œ ํ™”ํ•™ ์‚ฐ์—… ์œ„๊ธฐ ์†Œ์‹์„ ์ž์ฃผ ์ ‘ํ•˜๊ฒŒ ๋˜๋Š”๋ฐ์š”. 2050 ํƒ„์†Œ์ค‘๋ฆฝ ๋ชฉํ‘œ๊ฐ€ ๋‹ค๊ฐ€์˜ค๋ฉด์„œ ๊ธฐ์กด ์ผ์ž๋ฆฌ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ ์ง€ ๋ถˆ์•ˆํ•˜๋”๋ผ๊ณ ์š”. ๊ทธ๋Ÿฐ๋ฐ ๊ณ ์šฉ๋…ธ๋™๋ถ€์˜ ์ง€์—ญ์ผ์ž๋ฆฌ๋งต ์„œ๋น„์Šค๋ฅผ ์•Œ๊ฒŒ ๋˜์—ˆ๊ณ , ์ง์ ‘ ๋ถ„์„ํ•ด๋ณด๋‹ˆ ํฅ๋ฏธ๋กœ์šด ์ธ์‚ฌ์ดํŠธ๊ฐ€ ๋‚˜์™”์Šต๋‹ˆ๋‹ค. AI๊นŒ์ง€ ํ™œ์šฉํ•ด ์šธ์‚ฐํ˜• '๊ณต์ •์ „ํ™˜(Just Transition)' ์ผ์ž๋ฆฌ ์„ค๊ณ„ ์•„์ด๋””์–ด๋ฅผ ์ •๋ฆฌํ•ด ๋ณด์•˜์Šต๋‹ˆ๋‹ค. 1. ์™œ ์šธ์‚ฐ ์ผ์ž๋ฆฌ๊ฐ€ ์œ„๊ธฐ์ผ๊นŒ? ์šธ์‚ฐ์€ ๋Œ€ํ•œ๋ฏผ๊ตญ ์‚ฐ์—… ์ˆ˜๋„์ฃ . ์ „์ฒด ๊ณ ์šฉ ์ค‘ ์ œ์กฐ์—… ๋น„์ค‘์ด 36% ์ด์ƒ์œผ๋กœ ์ „๊ตญ ์ตœ๊ณ  ์ˆ˜์ค€์ด๊ณ , ํŠนํžˆ ์ž๋™์ฐจ·์กฐ์„ ·์„์œ ํ™”ํ•™์— ์ง‘์ค‘๋˜์–ด ์žˆ์–ด์š”. ํ•˜์ง€๋งŒ ํƒ„์†Œ์ค‘๋ฆฝ ์ •์ฑ…๊ณผ AI·์ž๋™ํ™” ํ™•์‚ฐ์œผ๋กœ ์—.. 2025. 12. 17.
[์ˆ˜์ƒ] 2025 ์กฐ๋‹ฌ์ฒญ ํ™๋ณด ์•„์ด๋””์–ด ๊ณต๋ชจ์ „ with AI ๐ŸŽ–๏ธ 2025 ์กฐ๋‹ฌ์ฒญ ํ™๋ณด ์•„์ด๋””์–ด ๊ณต๋ชจ์ „ ์ˆ˜์ƒ์ž ๋ฐœํ‘œ" data-og-description="2025 ์กฐ๋‹ฌ์ฒญ ํ™๋ณด ์•„์ด๋””์–ด ๊ณต๋ชจ์ „ ์ˆ˜์ƒ์ž ๋ฐœํ‘œ ์ด๋ฒˆ ๊ณต๋ชจ..." data-og-host="blog.naver.com" data-og-source-url="https://blog.naver.com/ppspr/224113101243" data-og-url="https://blog.naver.com/ppspr/224113101243" data-og-image="https://blog.kakaocdn.net/dna/g6ffA/hyZOEKmeee/AAAAAAAAAAAAAAAAAAAAAFZISJdJ4qM4dKXrYMCJm-ygeDLS0D_ad9adEQAb4xsi/img.png?credential=yqXZFxpELC7KVnFOS48ylbz2pIh7yKj8&expires=1780239599&allow_ip=&allow_referer=&signature=38L2qq5mja0%2Fow59%2Baav%2Fp0k81g%3D ๐ŸŽ–๏ธ 2025 ์กฐ๋‹ฌ์ฒญ ํ™๋ณด ์•„์ด๋””์–ด ๊ณต๋ชจ.. 2025. 12. 17.
[์ˆ˜์ƒ] 2025 ์ƒˆ์‹นํ•ด์ปคํ†ค(SeSAC)-์žฅ๋ ค์ƒ [๋ฐฐ๊ฒฝ]์ตœ๊ทผ ์‚ฌํšŒ ์ „ ์˜์—ญ์œผ๋กœ AI ํ™œ์šฉ์ด ํ™•๋Œ€๋˜๋ฉด์„œ ์ด์— ๋Œ€์‘ํ•˜๊ณ  ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ธ๋ ฅ ์œก์„ฑ์ด ํ•„์š”ํ•œ ์‹œ์ ์ธ๋ฐ์š”.์ด์— ๋ฏธ๋ž˜์„ธ๋Œ€๋ฅผ ์ฃผ๋„ํ•  AI ์ธ์žฌ๋ฅผ ์œก์„ฑํ•˜์—ฌ ๊ธ€๋กœ๋ฒŒ AI ํ˜์‹ ๋„์‹œ ์„œ์šธ์˜ ๊ธฐ๋ฐ˜์„ ๋งˆ๋ จํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์‚ฌํšŒ๋ฌธ์ œ ํ•ด๊ฒฐ์„ ์œ„ํ•œ AI ํ™œ์šฉ์„ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๊ด€์ ์˜ ํ•ด๊ฒฐ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•˜๊ณ , ์ฒญ๋…„์ธ์žฌ ๋ฐœ๊ตด์„ ํ†ตํ•ด ์ง€์†๊ฐ€๋Šฅํ•œ AI ์ƒํƒœ๊ณ„๋ฅผ ์กฐ์„ฑํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์ฒญ๋…„-์ „๋ฌธ๊ฐ€-๊ธฐ๊ด€์ด ํ˜‘๋ ฅํ•˜๋Š” ํ•ด์ปคํ†ค์„ ํ†ตํ•ด AI ๊ธฐ๋ฐ˜์˜ ์‚ฌํšŒ ์„ฑ์žฅ ๋™๋ ฅ์„ ํ™•๋ณดํ•˜๊ณ ์ž ์ด๋ฒˆ ๋Œ€ํšŒ๋ฅผ ๊ฐœ์ตœํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ์‹น ํ•ด์ปคํ†ค์ด๋ž€?IT ๊ธฐ์ˆ  ๋ถ„์•ผ์— ๊ด€์‹ฌ์žˆ๋Š” ๊ธฐํš์ž, ๋””์ž์ด๋„ˆ, ๊ฐœ๋ฐœ์ž ์ฒญ๋…„๋“ค์ด ๋ชจ์—ฌ ์„œ์šธ์˜ ๋ฏธ๋ž˜๋ฅผ ๋ฐ”๊ฟ€ ์•„์ด๋””์–ด๋ฅผ ๊ธฐํšํ•˜๊ณ  ์„œ๋น„์Šค๋กœ ๊ตฌํ˜„ํ•˜๋Š” ํ•ด์ปคํ†ค์ž…๋‹ˆ๋‹ค.์„œ์šธ์‹œ SW ๊ต์œก ๋ธŒ๋žœ๋“œ ์ฒญ๋…„์ทจ์—…์‚ฌ๊ด€ํ•™๊ต(SeSAC)์™€ ๊ธฐํšํ•˜๊ณ  ์šด์˜ํ•ฉ๋‹ˆ๋‹ค.. 2025. 12. 17.
47์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ RAG(Retrieval-Augmented Generation)๋ž€?RAG๋Š” ๊ฒ€์ƒ‰ ์ฆ๊ฐ• ์ƒ์„ฑ์ด๋ผ๋Š” ๊ธฐ์ˆ ๋กœ, ๋Œ€ํ˜• ์–ธ์–ด ๋ชจ๋ธ(LLM)์ด ๋‹ต๋ณ€์„ ์ƒ์„ฑํ•  ๋•Œ ์™ธ๋ถ€ ์ง€์‹ ๋ฒ ์ด์Šค(์˜ˆ: ๋ฌธ์„œ, ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค)์—์„œ ๊ด€๋ จ ์ •๋ณด๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฒ€์ƒ‰(Retrieval)ํ•˜์—ฌ ํ”„๋กฌํ”„ํŠธ์— ์ถ”๊ฐ€(Augmented)ํ•œ ํ›„ ์‘๋‹ต์„ ์ƒ์„ฑ(Generation)ํ•˜๋Š” ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค.์ฃผ์š” ์ž‘๋™ ์›๋ฆฌ:์‚ฌ์šฉ์ž์˜ ์งˆ๋ฌธ์„ ๋ฐ›์œผ๋ฉด, ๋ฒกํ„ฐ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๋“ฑ์—์„œ ๊ด€๋ จ ๋ฌธ์„œ๋ฅผ ๊ฒ€์ƒ‰ํ•ฉ๋‹ˆ๋‹ค.๊ฒ€์ƒ‰๋œ ์ •๋ณด๋ฅผ ํ”„๋กฌํ”„ํŠธ์— ์ถ”๊ฐ€ํ•˜์—ฌ LLM์ด ๋” ์ •ํ™•ํ•˜๊ณ  ์ตœ์‹  ์ •๋ณด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ต๋ณ€ํ•˜๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.์žฅ์ :์ตœ์‹  ์ •๋ณด ๋ฐ˜์˜์ด ์‰ฝ์Šต๋‹ˆ๋‹ค. (๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋งŒ ์—…๋ฐ์ดํŠธํ•˜๋ฉด ๋จ)ํ™˜๊ฐ(hallucination, ์ž˜๋ชป๋œ ์ •๋ณด ์ƒ์„ฑ) ๊ฐ์†Œ.๋ชจ๋ธ ์ž์ฒด๋ฅผ ์ˆ˜์ •ํ•˜์ง€ ์•Š์œผ๋ฏ€๋กœ ๋น„์šฉ์ด ์ ๊ฒŒ ๋“ค๊ณ , ๊ตฌํ˜„์ด ์ƒ๋Œ€์ ์œผ.. 2025. 12. 17.
46์ผ์ฐจ. https://ollama.com/ OllamaGet up and running with large language models.ollama.com ์˜ฌ๋ผ๋งˆ ์‚ฌ์ดํŠธ ๋น„์–ด ์žˆ๋Š” ๋žญ์ฒด์ธ๊ณผ pg๋ฒกํ„ฐ๋ฅผ ์—ฐ๋™ํ•˜๊ณ  ์‹ถ์–ด. pg ๋ฒคํ„ฐ๋ฅผ ๋‹ค์šด๋ฐ›์•„์„œ ์„ค์น˜ํ•˜๋Š” ๊ณผ์ •์„ ์ดˆ๋ณด์ž๊ฐ€ ์•Œ ์ˆ˜ ์žˆ๋„๋ก ์„ค๋ช…ํ•ด์ค˜.๋žญ์ฒด์ธ(LangChain) + pg๋ฒกํ„ฐ(pgvector) ์—ฐ๋™์„ ์œ„ํ•œ ์„ค์น˜ ๊ฐ€์ด๋“œ (์ดˆ๋ณด์ž์šฉ)์š”์•ฝ๋ถ€ํ„ฐ ๋“œ๋ฆฌ๋ฉด๐Ÿ‘‰ **pgvector๋Š” PostgreSQL์— AI ๋ฒกํ„ฐ ๊ฒ€์ƒ‰ ๊ธฐ๋Šฅ์„ ์ถ”๊ฐ€ํ•˜๋Š” ํ™•์žฅ(extension)**์ด๊ณ ๐Ÿ‘‰ LangChain์€ ์ด pgvector๋ฅผ ๋ฒกํ„ฐ DB์ฒ˜๋Ÿผ ํ™œ์šฉํ•ฉ๋‹ˆ๋‹ค.์•„๋ž˜ ์ˆœ์„œ๋Œ€๋กœ ๋”ฐ๋ผ ํ•˜์‹œ๋ฉด “๋นˆ ๋žญ์ฒด์ธ + pgvector” ์—ฐ๋™์˜ ์ฒซ ๋‹จ์ถ”๋ฅผ ์ œ๋Œ€๋กœ ๋ผ์šฐ์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.์ „์ฒด ํ๋ฆ„ ๋ฏธ๋ฆฌ ๋ณด๊ธฐ ๐ŸงญPos.. 2025. 12. 16.
46์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ ์ž๋ฐ”์—์„œ๋Š” ํŒŒ์ดํ”„๋ผ์ธLLM์—์„œ๋Š” ์ฒด์ธ์ข‹์•„์š”! ๋ง์”€ํ•˜์‹  ์ž๋ฐ”(Java), ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ(JavaScript), ์Šคํ”„๋ง(Spring), Node.js๋Š” ๋ชจ๋‘ ํ”„๋กœ๊ทธ๋ž˜๋ฐ/์›น ๊ฐœ๋ฐœ์—์„œ ์ž์ฃผ ๋‚˜์˜ค๋Š” ์šฉ์–ด์ง€๋งŒ, ์„œ๋กœ ์—ญํ• ๊ณผ ์“ฐ์ž„์ด ๋‹ค๋ฆ…๋‹ˆ๋‹ค. ํ•˜๋‚˜์”ฉ ์‰ฝ๊ฒŒ ์ •๋ฆฌํ•ด ๋“œ๋ฆด๊ฒŒ์š”.1๏ธโƒฃ ์ž๋ฐ”(Java)์ข…๋ฅ˜: ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ดํŠน์ง•:๊ฐ์ฒด์ง€ํ–ฅ ํ”„๋กœ๊ทธ๋ž˜๋ฐ(OOP) ์ง€์›ํ•œ ๋ฒˆ ์ž‘์„ฑํ•˜๋ฉด ์—ฌ๋Ÿฌ ํ™˜๊ฒฝ์—์„œ ์‹คํ–‰ ๊ฐ€๋Šฅ (“Write Once, Run Anywhere”)๊ฐ•๋ ฅํ•œ ์•ˆ์ •์„ฑ๊ณผ ํ™•์žฅ์„ฑ์œผ๋กœ ๊ธฐ์—…์šฉ ๋ฐฑ์—”๋“œ ๊ฐœ๋ฐœ์— ๋งŽ์ด ์‚ฌ์šฉ์‚ฌ์šฉ ์‚ฌ๋ก€: ์€ํ–‰ ์‹œ์Šคํ…œ, ์ „์ž์ƒ๊ฑฐ๋ž˜ ์„œ๋ฒ„, ์•ˆ๋“œ๋กœ์ด๋“œ ์•ฑ ๋ฐฑ์—”๋“œ ๋“ฑ2๏ธโƒฃ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ(JavaScript)์ข…๋ฅ˜: ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ดํŠน์ง•:์›น ๋ธŒ๋ผ์šฐ์ €์—์„œ ์‹คํ–‰๋˜๋Š” ํ”„๋ก ํŠธ์—”๋“œ(ํด๋ผ์ด์–ธํŠธ)์šฉ ์–ธ์–ด๋™์ ์ธ ์›น ํŽ˜์ด์ง€ ๊ตฌํ˜„ ๊ฐ€๋Šฅ (๋ฒ„ํŠผ ํด.. 2025. 12. 16.
44์ผ, 45์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ ๋”ฅ ๋Ÿฌ๋‹์„ ์ด์šฉํ•œ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ ์ž…๋ฌธhttps://wikidocs.net/150781- ๊ธˆ์š”์ผ ์ด๋ก  ์ˆ˜์—… ์ด๊ฑฐ๋ณด๊ณ  ํ•˜์‹ฌ 01. ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ(natural language processing) ์ž์—ฐ์–ด(natural language)๋ž€ ์šฐ๋ฆฌ๊ฐ€ ์ผ์ƒ ์ƒํ™œ์—์„œ ์‚ฌ์šฉํ•˜๋Š” ์–ธ์–ด๋ฅผ ๋งํ•ฉ๋‹ˆ๋‹ค. ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ(natural language processing)๋ž€ ์ด๋Ÿฌํ•œ ์ž์—ฐ์–ด์˜ ์˜๋ฏธ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ปดํ“จํ„ฐ๊ฐ€ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ์ผ์„ ๋งํ•ฉ๋‹ˆ๋‹ค. ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ๋Š” ์Œ์„ฑ ์ธ์‹, ๋‚ด์šฉ ์š”์•ฝ, ๋ฒˆ์—ญ, ์‚ฌ์šฉ์ž์˜ ๊ฐ์„ฑ ๋ถ„์„, ํ…์ŠคํŠธ ๋ถ„๋ฅ˜ ์ž‘์—…(์ŠคํŒธ ๋ฉ”์ผ ๋ถ„๋ฅ˜, ๋‰ด์Šค ๊ธฐ์‚ฌ ์นดํ…Œ๊ณ ๋ฆฌ ๋ถ„๋ฅ˜), ์งˆ์˜ ์‘๋‹ต ์‹œ์Šคํ…œ, ์ฑ—๋ด‡๊ณผ ๊ฐ™์€ ๊ณณ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ๋ถ„์•ผ์ž…๋‹ˆ๋‹ค. ์ตœ๊ทผ ๋”ฅ ๋Ÿฌ๋‹์˜ ๋›ฐ์–ด๋‚œ ์„ฑ๋Šฅ์ด ๊ด„๋ชฉํ• ๋งŒํ•œ ์„ฑ๊ณผ๋ฅผ ์–ป์œผ๋ฉด์„œ, ์ธ๊ณต์ง€๋Šฅ์ด IT ๋ถ„์•ผ์˜ ์ค‘์š” ํ‚ค์›Œ.. 2025. 12. 16.
45์ผ์ฐจ. ํด๋” ํŒŒ์ผ ์ƒ์„ฑ , ์œ„์—์„œ ๋ถ™์—ฌ๋„ฃ๊ธฐ KoELECTRA ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•ด์„œ , ์˜ํ™” ๋ฆฌ๋ทฐ๋ฅผ ์ž‘์„ฑํ•˜๋ฉด, ๊ธ์ •, ๋ถ€์ • ๊ฐ์„ฑ๋ถ„์„์„ ํ•˜๋Š” ์„œ๋น„์Šค๋ฅผ ๋งŒ๋“ค๋ ค๊ณ  ํ•ด. ํ—ˆ๊น…ํŽ˜์ด์Šค์—์„œ ๋‹ค์šด ๋ฐ›์€ ๋ชจ๋ธ์„ ๊ตฌ์„ฑํ•˜๋Š” ์•„ํ‚คํ…์ฒ˜ ์ „๋žต์„ ์•Œ๋ ค์ค˜. -sonet ์œผ๋กœ ํ•˜๊ธฐ ํ•ต์‹ฌ ์•„ํ‚คํ…์ฒ˜ ์ „๋žต ์š”์•ฝ1. ๊ณ„์ธต ๊ตฌ์กฐAPI Layer: FastAPI ๋ผ์šฐํ„ฐ (์š”์ฒญ/์‘๋‹ต ์ฒ˜๋ฆฌ)Service Layer: ๋น„์ฆˆ๋‹ˆ์Šค ๋กœ์ง ๋ฐ ์ „์ฒ˜๋ฆฌ/ํ›„์ฒ˜๋ฆฌModel Layer: ๋ชจ๋ธ ๋กœ๋”ฉ ๋ฐ ์ถ”๋ก  (์‹ฑ๊ธ€ํ†ค ํŒจํ„ด)2. ๋ชจ๋ธ ๋กœ๋”ฉ ์ „๋žต์‹ฑ๊ธ€ํ†ค ํŒจํ„ด: ์„œ๋ฒ„ ์‹œ์ž‘ ์‹œ ๋ชจ๋ธ์„ ํ•œ ๋ฒˆ๋งŒ ๋กœ๋“œํ•˜์—ฌ ๋ฉ”๋ชจ๋ฆฌ ํšจ์œจํ™”Lazy Loading ์˜ต์…˜: ์ฒซ ์š”์ฒญ ์‹œ ๋กœ๋“œ ๊ฐ€๋Šฅ๋ฉ”๋ชจ๋ฆฌ ์ตœ์ ํ™”: GPU ์‚ฌ์šฉ, ๋ฐฐ์น˜ ์ฒ˜๋ฆฌ ๊ณ ๋ ค3. ํด๋” ๊ตฌ์กฐ app/nlp/review/โ”œโ”€โ”€ emotion_model.p.. 2025. 12. 15.
44์ผ์ฐจ. conda activate torch313 ๋กœ ์ž…๋ ฅํ•˜๊ณ  ์ปค์„œ์ผœ๊ธฐ https://parksrazor.tistory.com/93 ํŒŒ์ด์ฌ/์ž์—ฐ์–ด/2020-05-09/ ์‚ผ์„ฑ 2018 ๋ณด๊ณ ์„œ ๋ถ„์„ํ•˜๊ธฐ1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 8parksrazor.tistory.com ๋ฐ์ดํ„ฐ ํŒŒ.. 2025. 12. 15.
43์ผ์ฐจ. IT ๊ฐœ๋… ์ •๋ฆฌ ํŒŒ์ดํ† ์น˜(PyTorch)์™€ ํ…์„œํ”Œ๋กœ์šฐ(TensorFlow)์˜ ์ฐจ์ด์ ๋‘˜ ๋‹ค ๋”ฅ๋Ÿฌ๋‹ ํ”„๋ ˆ์ž„์›Œํฌ์ด์ง€๋งŒ, ์ฒ ํ•™๊ณผ ์‚ฌ์šฉ์„ฑ์—์„œ ๋šœ๋ ทํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.๐Ÿ” ํ•ต์‹ฌ ์š”์•ฝํŒŒ์ดํ† ์น˜: ์ง๊ด€์ , ํŒŒ์ด์ฌ์Šค๋Ÿฝ๊ณ  ์—ฐ๊ตฌ์šฉ·ํ”„๋กœํ† ํƒ€์ดํ•‘์— ๊ฐ•ํ•จํ…์„œํ”Œ๋กœ์šฐ: ์‚ฐ์—… ๋ฐฐํฌ·๋Œ€๊ทœ๋ชจ ์„œ๋น„์Šค์— ๊ฐ•ํ•จ๐Ÿ“Œ ํŒŒ์ดํ† ์น˜ vs ํ…์„œํ”Œ๋กœ์šฐ ์ƒ์„ธ ๋น„๊ต๊ตฌ๋ถ„ํŒŒ์ดํ† ์น˜(PyTorch)ํ…์„œํ”Œ๋กœ์šฐ(TensorFlow)๊ฐœ๋ฐœ์‚ฌMeta(๊ตฌ Facebook)Google๊ณ„์‚ฐ ๋ฐฉ์‹๋™์  ๊ทธ๋ž˜ํ”„(eager execution) ๊ธฐ๋ณธ์ดˆ๊ธฐ์—” ์ •์  ๊ทธ๋ž˜ํ”„ → ํ˜„์žฌ๋Š” eager + graph ๋ณ‘ํ–‰์‚ฌ์šฉ ๋‚œ์ด๋„ํŒŒ์ด์ฌ ์ฝ”๋“œ์™€ ์œ ์‚ฌํ•ด ์ง๊ด€์ ๊ธฐ๋Šฅ ๋งŽ๊ณ  ๊ตฌ์กฐ ๋ณต์žกํ•ด ์ƒ๋Œ€์ ์œผ๋กœ ์–ด๋ ค์›€์—ฐ๊ตฌ/ํ•™๊ณ„ ํ™œ์šฉ๋งค์šฐ ๋†’์Œ (๋…ผ๋ฌธ ๋Œ€๋ถ€๋ถ„ ํŒŒ์ดํ† ์น˜ ๊ธฐ๋ฐ˜)์˜ˆ์ „๋ณด๋‹ค ๊ฐ์†Œ์‚ฐ์—…/์„œ๋น„์Šค ๋ฐฐํฌTorchServe ๋“ฑ ์ง€์›ํ•˜์ง€๋งŒ ์ƒ๋Œ€์ ์œผ๋กœ.. 2025. 12. 11.
43์ผ์ฐจ. ์„œ์šธ์‹œ ๋ฒ”์ฃ„ ๋ฐœ์ƒํ˜„ํ™ฉ&์ž์—ฐ์–ด ์ฒ˜๋ฆฌ ํžˆํŠธ๋งต ๊ทธ๋ ค๋‹ฌ๋ผํ•˜๊ธฐ, ์ง€์˜ค์ฝ”๋”ฉ ๋กœ์ง์„ ์งœ์„œ ์ข…๋กœ๊ตฌ๋ผ๋ฆฌ ๋ฌถ๊ณ  @save ์ด ํŒŒ์ผ์— ์ƒˆ๋กœ csv ํŒŒ์ผ์„ ๋งŒ๋“ค์–ด์ค˜ ๋„ˆ๊ฐ€ ๊ทผ๋ฐ ๊ทธ ์ƒˆ๋กœ ๋งŒ๋“  csv ํŒŒ์ผ์€ crime.csv์—์„œ ์ฃผ์†Œ์™€ ์ž์น˜๊ตฌ๊ฐ€ ์ถ”๊ฐ€ ๋œ ์ปฌ๋Ÿผ์ด์–ด์•ผํ•ด. ๊ด€์„œ๋ช…์ด '์„œ์šธ์ค‘๋ถ€๊ฒฝ์ฐฐ์„œ', '์„œ์šธ์ข…๋กœ๊ฒฝ์ฐฐ์„œ', '์„œ์šธ๋‚จ๋Œ€๋ฌธ๊ฒฝ์ฐฐ์„œ' ์ด๋Ÿฐ์‹์œผ๋กœ ๋‚˜์™€์•ผํ•ด ๋‹ค์‹œ ๋งŒ๋“ค์–ด์ค˜ ๊ณ„์† ๋ฐ”๊ฟ”๋‹ฌ๋ผ๊ณ  ํ•˜๋‹ˆ๊นŒ ๋ฐ”๊ฟ”์คŒ! ์•ˆ๋˜๋ฉด ๊ป๋‹ค๊ฐ€ ์ผœ๊ธฐ ํด๋”๋ž‘ ํŒŒ์ผ ๋งŒ๋“ค๊ธฐ https://python-visualization.github.io/folium/latest/getting_started.html Trust Notebook" data-og-host="python-visualization.github.io" data-og-source-url="https://python-visual.. 2025. 12. 11.