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๐Ÿ’ป Tech News

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hackernewsai

Slightly reducing the sloppiness of AI generated front end

Slightly reducing the sloppiness of AI generated front end

2
hackernewsdev

Swift at Apple: Migrating the TrueType hinting interpreter

Swift at Apple: Migrating the TrueType hinting interpreter

2
hackernewsdev

Malware developers added nuclear and biological weapons text to to their spyware

Malware developers added nuclear and biological weapons text to to their spyware

2
hackernewsdev

SkillSpector

SkillSpector

2
hackernewsdev

Reddit RSS feeds recent rate limiting and solution

Reddit RSS feeds recent rate limiting and solution

2

๐Ÿ“Š Stock

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๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
8,123.62+359.67 (+์ƒ์Šน)
KOSDAQ
1,029.05+32.12 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,431.46+37.16 (+0.50%)
NASDAQ
25,888.84+79.18 (+0.31%)
DOW
51,202.26+353.51 (+0.70%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,519.500.50
JPY/KRW
948.350.52
EUR/KRW
1,757.830.34

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$63,525(โ‚ฉ96,369,814)-0.27%
ETH
$1,665(โ‚ฉ2,526,154)-0.60%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.๋“œ๋ฆผํ…
5,860+29.79%
2.ํ•œ์ „KPS
63,900+29.61%
3.ํ˜„๋Œ€๊ฑด์„ค
157,500+28.36%
4.HL๋งŒ๋„
65,000+30.00%
5.ํ•œ์ „๊ธฐ์ˆ 
151,300+29.98%

๐ŸงŠ ํ•˜๋ฝ TOP

1.๊ฐ€์˜จ์ „์„ 
252,000-22.22%
2.ํ‚ค์›€ ์ธ๋ฒ„์Šค 2X ๋ฐ˜๋„์ฒดTOP10 ETN
3,180-20.60%
3.PLUS ์‚ผ์„ฑ์ „์ž์„ ๋ฌผ๋‹จ์ผ์ข…๋ชฉ์ธ๋ฒ„์Šค2X
14,140-16.95%
4.ํ•˜๋‚˜ ์ธ๋ฒ„์Šค 2X ๋ฐ˜๋„์ฒด ETN
3,025-15.15%
5.์ฝ”์•„์Šค
2,085-15.07%

๐Ÿ  Real Estate

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๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-06-13)

โ–ฒ ์ƒ์Šน 771๊ฑดโ–ผ ํ•˜๋ฝ 645๊ฑด

์ƒ์Šน 771๊ฑด / ํ•˜๋ฝ 645๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 2.5(+0.00%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 101.415(+0.25%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 101.658(+0.41%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.๋ถ์˜ค์‚ฐ์ž์ด๋“œํฌ๋ ˆ
2.์„ ์œ ๋…ธ๋ธ”๋ ˆ๋ฅด
3.์ธ์ฒœ์˜์ข…๊ตญ์ œ๋„์‹œ๋””์—ํŠธ๋ฅด๋ผ๋ฉ”๋ฅดโ… 
4.๋”์ƒต๊ฒ€๋‹จ๋ ˆ์ดํฌํŒŒํฌ(AB22BL)
5.๋™ํƒ„์—ญ๋กฏ๋ฐ์บ์Šฌ
6.ํž์Šคํ…Œ์ดํŠธ์˜ํ†ต
7.๋”์ƒต๊ฒ€๋‹จ๋ ˆ์ดํฌํŒŒํฌ(AB23BL)
8.ํž์Šคํ…Œ์ดํŠธ๋™ํƒ„
9.ํ™”์„ฑ๋™ํƒ„2์ง€๊ตฌC27๋ธ”๋ก
10.๋™ํƒ„์—ญ์„ผํŠธ๋Ÿดํ‘ธ๋ฅด์ง€์˜ค

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.๊ฒฝ๊ธฐ๋„ ์˜ค์‚ฐ์‹œ
2.์„œ์šธํŠน๋ณ„์‹œ ์˜๋“ฑํฌ๊ตฌ
3.์ธ์ฒœ๊ด‘์—ญ์‹œ ์ค‘๊ตฌ
4.์ธ์ฒœ๊ด‘์—ญ์‹œ ์„œ๊ตฌ
5.๊ฒฝ๊ธฐ๋„ ํ™”์„ฑ์‹œ
6.๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 559๊ฑด / ์›”์„ธ 561๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 93๊ฑด

93๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

๋ชฉ๋™ ์žฌ๊ฑด์ถ• ์‚ฌ์—… ์†๋„ ์‹ ์‹œ๊ฐ€์ง€ ์ฃผ์š” ๋‹จ์ง€ ์‹ ๊ณ ๊ฐ€ ๊ฒฝ์‹ 
์ˆ˜๋„๊ถŒ ์ƒ์Šน ํ๋ฆ„ ๋™ํƒ„๊ถŒ์—ญ๊นŒ์ง€ ํ™•์‚ฐ '๋ถ์˜ค์‚ฐ์ž์ด ๋“œํฌ๋ ˆ' ๊ฒฌ๋ณธ์ฃผํƒ ๊ฐœ๊ด€
๋™ํƒ„ ์ƒํ™œ๊ถŒ '๋ถ์˜ค์‚ฐ์ž์ด ๋“œํฌ๋ ˆ' ๊ธˆ์ผ ๊ฒฌ๋ณธ์ฃผํƒ ์˜คํ”ˆ
๋ผ์ดํ”„์Šคํƒ€์ผ ๋ณ€ํ™”๊ฐ€ ๋ถ€๋ฅธ ์ฃผ๊ฑฐ ๊ธฐ์ค€ ์ „ํ™˜.GS๊ฑด์„ค 1174๊ฐ€๊ตฌ ๊ทœ๋ชจ ๋ฐฑ์„์‹œ๊ทธ๋‹ˆ์ฒ˜์ž์ด ๊ณต๊ธ‰
"GTX ๋šซ๋ฆฌ๋ฉด ์ง‘๊ฐ’ ๋‚ ์•„๊ฐ„๋‹ค๋”๋‹ˆ" 40๋Œ€ ์ง‘์ฃผ์ธ ํ•œํƒ„ [์ฒ ๊ธธ์˜†์ง‘]
"์ด์‚ฌ ๋ชป ํ•˜๊ฒ ๋‹ค" ๊ฒฝ๊ธฐ ์˜คํ”ผ์Šคํ…” ์„ธ์ž…์ž๋“ค์ด ์„ ํƒํ•œ ๋ฐฉ๋ฒ•์€
"๋‹ค์ฃผํƒ์ž ๋ง‰์ฐจ ๋– ๋‚˜์ž ๋ˆˆ์น˜๋งŒ ๋ด์š”" ํ† ์ง€๊ฑฐ๋ž˜ํ—ˆ๊ฐ€ ์‹ ์ฒญ '๋š'
'K๊ฑด์„ค' ๋ฌด๊ฒŒ์ค‘์‹ฌ ์•„์‹œ์•„๋กœ ํ•ด์™ธ์ˆ˜์ฃผ ์ง€ํ˜•๋„ ์žฌํŽธ
๊ธธ์–ด์ง€๋Š” ๋ ˆ๋ฏธ์ฝ˜ ์šด์†ก ํŒŒ์—…์— ๊ฑด์„ค ๊ณต์žฅ ๊ณต์ • ์ฐจ์งˆ ํ™•์‚ฐ
๋ถ€๋™์‚ฐ ๋งค๋งค๊ณ„์•ฝ, ๋„์žฅ ์ฐ๊ธฐ ์ „์— ๊ผญ ํ™•์ธํ•ด์•ผ ํ•  10๊ฐ€์ง€
'์…”์„ธ๊ถŒ' ๋™ํƒ„ ์•„ํŒŒํŠธ๊ฐ’ ์ผ์ฃผ์ผ ๋งŒ์— 2% 'ํ™œํ™œ'
๋‹ค์Œ ์ฃผ ์ „๊ตญ 3606๊ฐ€๊ตฌ ๋ถ„์–‘ ํ‰ํƒยท์ฒœ์•ˆยท๋ถ€์‚ฐ ๊ณต๊ธ‰
6์›” ์…‹์งธ ์ฃผ ๋ถ„์–‘์บ˜๋ฆฐ๋”
์„ ๊ฑฐ ๋๋‚˜์ž SHยทGH ๋‚˜๋ž€ํžˆ ๋ณธ์‚ฌ ์ด์ „ ์‹œ๋™ ๊ฑฐ๋‚˜
์‚ผ์„ฑ ์ผ์ž๋ฆฌ ํ’ˆ์€ ์ฒœ์•ˆ์˜ ์ž์ด ๋Œ€๋‹จ์ง€ ์ง์ฃผ๊ทผ์ ‘ ์ˆ˜์š” ์žก์„๊นŒ[TFํ˜„์žฅ]
3040 ๋งค์ˆ˜ ๋Š˜์ž '์ดˆํ’ˆ์•„' ๊ฐ•์„ธ ์ง€๋ฐฉ ์ฃผํƒ์‹œ์žฅ ๊ณต์‹ ๋ฐ”๋€Œ๋‚˜
๋Œ€ํ†ต๋ น "์ „์„ธ ์ถ•์†Œ๋Š” ์ •์ƒํ™”" ๋ฐœ์–ธ์— ์ „๋ฌธ๊ฐ€๋“ค "์–ด๋‘์šด ๋ฉด๋งŒ ๋ณด๋Š” ๊ฒƒ ์•„๋‹ˆ๋ƒ"
์••๊ตฌ์ •๋™ 84% ํœฉ์“ธ์—ˆ๋‹ค ์˜ค์„ธํ›ˆ ๋‹น์„  ์ขŒ์šฐํ•œ '์žฌ๊ฑด์ถ• ์ง€๋„' [์•ˆ์žฅ์›์˜ ๋ถ€๋™์‚ฐ ๋…ธํŠธ]
4์›” ์„œ์šธ ์˜คํ”ผ์Šค๋นŒ๋”ฉ ๊ฑฐ๋ž˜๊ธˆ์•ก ๋ฐ˜ํ† ๋ง‰ ์‚ฌ๋ฌด์‹ค์€ 63.0% ์ฆ๊ฐ€
๋™ํƒ„ยท์ˆ˜์ง€ ๋ถˆ๊ธธ ๊ธฐํฅ์œผ๋กœ ๋น„๊ทœ์ œ ํƒ€๊ณ  ๊ตญํ‰ 15์–ต ๋šซ์—ˆ๋‹ค[๋ถ€๋™์‚ฐAtoZ]
330m ์งœ๋ฆฌ ์„ฑ๋ฒฝ๊ฐ™์€ ์•„ํŒŒํŠธ ๋Œ€๋ฌธ '์œ„ํ™”๊ฐ'๊ณผ '๋žœ๋“œ๋งˆํฌ' ์‚ฌ์ด ๋ฌธ์ฃผ ๋…ผ๋ž€
ํˆฌ๊ธฐ ์žก๊ฒ ๋‹ค๋ฉฐ '๋ถ€๋™์‚ฐ๊ฐ๋…์›' ์„ค๋ฆฝ ์†๋„์ „ ๊ธˆ์œตยท์„ธ๋ฌดยท์ถœ์ž…๊ตญ ๊ธฐ๋ก๊นŒ์ง€ ๋ณธ๋‹ค
๋‚ด์ฃผ ํ‰ํƒ ๊ณ ๋• ์šฐ๋ฏธ ๋ฆฐ ํ”„๋ ˆ์Šคํ‹ฐ์ง€ ๋“ฑ 3์ฒœ606๊ฐ€๊ตฌ ๊ณต๊ธ‰
'์ง€ํ•˜์ฒ ์—ญ๊นŒ์ง€ 20๋ถ„' ์„œ์šธ ๊ตํ†ต ์†Œ์™ธ์ง€ ๋ฐ”๋€๋‹ค ๊ฐ•๋ถํšก๋‹จ์„ ยท์„œ๋‚จ์„  ์žฌ์‹œ๋™
์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ์žฌ๊ฑด์ถ•ยท์žฌ๊ฐœ๋ฐœ ์ค‘์‹ฌ์œผ๋กœ 0.27% ์ƒ์Šนํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ
๋™ํƒ„ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน๋ฅ  ์ผ์ฃผ์ผ ์ƒˆ 2๋ฐฐ โ€˜์‘ฅโ€™โ€ฆ ์„œ์šธ ์ „์…‹๊ฐ’์€ 10๋…„ ๋งŒ์— ์ตœ๊ณ  - ์กฐ์„ ๋น„์ฆˆChosunbiz
[์ฃผ๊ฐ„๋ถ€๋™์‚ฐ์‹œํ™ฉ] ๊ทœ์ œ ์ด๊ธด '๊ณต๊ธ‰ ๋ถ€์กฑ'โ€ฆ์„œ์šธ ์ง‘๊ฐ’ ์˜ค๋ฆ„์„ธ ์ด์–ด์กŒ๋‹ค๋ฐ์ผ๋ฆฌ์•ˆ
AI๊ฐ€ ๋„์šด ์šธ์‚ฐ ์•„ํŒŒํŠธ๊ฐ’, 1๋…„์ƒˆ ๊ตญํ‰ 2์–ต ๋›ฐ์—ˆ๋‹ค[๋ถ€๋™์‚ฐAtoZ]์•„์‹œ์•„๊ฒฝ์ œ
์„œ์šธ ์ง‘๊ฐ’ ๋‘˜๋Ÿฌ์‹ผ ์—ฌ์•ผ ์ถฉ๋Œโ€ฆ'์ƒ์Šน์‚ฌ์‹ค'๊ณผ '์ •์ฑ…์‹คํŒจ'๋Š” ๊ฐ™์€ ์˜๋ฏธ์ผ๊นŒ๋ณต์ง€TV๋ถ€์šธ๊ฒฝ๋ฐฉ์†ก
๋ถ€์‚ฐ ์•„ํŒŒํŠธ๊ฐ’ ๋‹ค์‹œ ์†Œํญ ํ•˜๋ฝ...ํ•ด์šด๋Œ€ยท๋™๋ž˜๋Š” ์ƒ์Šน์„ธ ์œ ์ง€ppss.kr
์„œ์šธ ์•„ํŒŒํŠธ ์ „์„ธ ์ƒˆ๋กœ ๊ตฌํ•˜๋ ค ๋ดค๋”๋‹ˆ 2๋…„ ์ƒˆ 1์–ต ์˜ฌ๋ž๋‹ค [๋ถ€๋™์‚ฐ360]ํ—ค๋Ÿด๋“œ๊ฒฝ์ œ
6์ฃผ ์˜ค๋ฅด๋˜ ๋งค์ˆ˜์‹ฌ๋ฆฌ ๊บพ์˜€๋‹คโ€ฆ ์„œ์šธ ์ง‘๊ฐ’์€ ์–ด๋””๋กœ ๊ฐ€๋‚˜KB Think
โ€œ๊ฐ•๋‚จ ์•„ํŒŒํŠธ๊ฐ’ ํ‰๊ท  30์–ต๋Œ€ ์œก๋ฐ•โ€โ€ฆ์ •๋ถ€, ๊ฒฐ๊ตญ ์„ธ๊ธˆ ์˜ฌ๋ฆด๊นŒ? [์ž‡์Šˆ ๋จธ๋‹ˆ]KBS ๋‰ด์Šค
์ง‘๊ฐ’์ด ์„œ์šธ์‹œ์žฅ โ€ฒํ‘œ์‹ฌโ€ฒ ๊ฐˆ๋ž๋‹คโ€ฆ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์œ„ 12๊ณณ ์ค‘ 10๊ณณ ์˜ค์„ธํ›ˆ ์šฐ์„ธ๋‰ด์Šคํ•Œ
[N2 ํฌ์ปค์Šค] ์ „์„ธ๋‚œ์— ๋ฐ€๋ฆฐ ์„œ์šธ ์ง‘๊ฐ’โ€ฆ๊ฐ•๋ถ ์•„ํŒŒํŠธ๊นŒ์ง€ โ€˜๋ถˆ์žฅโ€™ ๋ฒˆ์ง€๋‚˜๋‰ด์Šคํˆฌ๋ฐ์ด
์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 0.25% ์ƒ์Šนโ€ฆ ์ง€๋ฐฉ์€ ๋ณดํ•ฉ์„ธํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ
์„œ์šธยท๊ฒฝ๊ธฐ ์ „์›”์„ธ ๊ธ‰๋“ฑ์— ๋งค์ž…์ž„๋Œ€ 6๋งŒ6000ํ˜ธ ๊ณต๊ธ‰์กฐ์„ ์ผ๋ณด
์„œ์šธ ์•„ํŒŒํŠธ ์ „์…‹๊ฐ’ ์˜ค๋ฆ„์„ธ, ๋งค๋งค ๋˜ ์ถ”์›”โ€ฆ๋™ํƒ„ ์•„ํŒŒํŠธ๊ฐ’ ์ „๊ตญ ์ตœ๊ณ  ์ƒ์Šน[๋ถ€๋™์‚ฐAtoZ]์•„์‹œ์•„๊ฒฝ์ œ
โ€œ๋” ๋Šฆ๊ธฐ ์ „์— ์‚ฌ์žโ€ ์˜ฌํ•ด ์„œ์šธ ์•„ํŒŒํŠธ ๋งค๋งค 60%๋Š” 10์–ต ์•„๋ž˜ ๋ชฐ๋ ธ๋‹ค [๋ถ€๋™์‚ฐ360]ํ—ค๋Ÿด๋“œ๊ฒฝ์ œ

โš–๏ธ ๋ฒ•์›๊ฒฝ๋งค

2025ํƒ€๊ฒฝ51733

๊ฒฝ๊ธฐ๋„ ํ•˜๋‚จ์‹œ ๊ฐ์ด๋™ ์‚ฐ82-2 - 7์–ต6489๋งŒ์›

2025ํƒ€๊ฒฝ53259

๊ฒฝ๊ธฐ๋„ ํ•˜๋‚จ์‹œ ์ดˆ์ด๋™ ์‚ฐ34-5 - 2์–ต8644๋งŒ์›

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

์ƒ๋ฌด ์–‘์šฐ๋‚ด์•ˆ์— ํผ์ŠคํŠธํž(์กฐํ•ฉ์› ์ทจ์†Œ๋ถ„)
ํ˜ธ๋ฐ˜์จ๋ฐ‹ ์ฒจ๋‹จ3์ง€๊ตฌ(A7BL)
๋ถ์˜ค์‚ฐ์ž์ด ๋“œํฌ๋ ˆ
๊ณ ๋•๊ตญ์ œ์‹ ๋„์‹œ ์ˆ˜์ž์ธํ•˜์šฐ์Šค๋””
ํ˜ธ๋ฐ˜์จ๋ฐ‹ ์ฒจ๋‹จ3์ง€๊ตฌ(A8BL)
๋ถ์„œ์šธ์ž์ด ํด๋ผ๋ฆฌ์Šค(๋ณด๋ฅ˜์ง€)
ํž์Šคํ…Œ์ดํŠธ ์–‘์‚ฐ๋”์Šค์นด์ด 2๋‹จ์ง€
ํž์Šคํ…Œ์ดํŠธ ์–‘์‚ฐ๋”์Šค์นด์ด 1๋‹จ์ง€
๋”์ƒต ๊ฒ€๋‹จ๋ ˆ์ดํฌํŒŒํฌ(AB23BL)
๋”์ƒต ๊ฒ€๋‹จ๋ ˆ์ดํฌํŒŒํฌ(AB22BL)

๐Ÿค– AI Agent

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semantic_scholarresearch

Secure autonomous cyber defense with LLM agents: A systematic review of autonomy, tool-augmented reasoning, and governance constraints

์ž์œจ LLM ์—์ด์ „ํŠธ์˜ ์‚ฌ์ด๋ฒ„ ๋ฐฉ์–ด ๊ธฐ๋Šฅ, ๋„๊ตฌ ํ™œ์šฉ ์ถ”๋ก , ๊ฑฐ๋ฒ„๋„Œ์Šค ์ œ์•ฝ์„ ์ฒด๊ณ„์ ์œผ๋กœ ๊ฒ€ํ† 

semantic_scholarresearch

HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents

MCP ์Šคํƒ€์ผ ์ธํ„ฐํŽ˜์ด์Šค๋กœ ๋„๊ตฌ ํ˜ธ์ถœ ํšจ์œจ์„ฑ์„ ๊ฐœ์„ ํ•˜๊ณ  ์ปจํ…์ŠคํŠธ ์†Œ๋น„ ์ตœ์†Œํ™”

semantic_scholarresearch

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

์ƒ์œ„/ํ•˜์œ„ ์ •์ฑ… ์ •๋ ฌ์„ ํ†ตํ•ด ๋„๊ตฌ ์‚ฌ์šฉ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ณ„์ธต์  ํ•™์Šต ๋ฐฉ๋ฒ•

semantic_scholarresearch

Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation

๋„๊ตฌ ๊ด€๋ จ ์ง€์‹ ํš๋“, ํ™œ์„ฑํ™”, ๋‚ด์žฌํ™” ๋‹จ๊ณ„๋กœ ๋‹ค๋‹จ๊ณ„ ๋„๊ตฌ ์‹คํ–‰ ์„ฑ๋Šฅ ๊ฐœ์„ 

semantic_scholarresearch

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes

300๊ฐœ ์ด์ƒ ๋…ผ๋ฌธ ๋ถ„์„์„ ํ†ตํ•œ LLM ์ถ”๋ก  ํŒจ๋Ÿฌ๋‹ค์ž„ ์ฒด๊ณ„ํ™” ๋ฐ ์‹คํŒจ ๋ชจ๋“œ ๋ถ„๋ฅ˜

๐Ÿ”“ Open Source

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github-trendingLibrary

server

Music Assistant๋Š” ์ŠคํŠธ๋ฆฌ๋ฐ ์„œ๋น„์Šค ๋ฐ ๋‹ค์–‘ํ•œ ์—ฐ๊ฒฐ๋œ ์Šคํ”ผ์ปค์™€ ์—ฐ๋™๋˜๋Š” ๋ฌด๋ฃŒ ์˜คํ”ˆ์†Œ์Šค ๋ฏธ๋””์–ด ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๊ด€๋ฆฌ์ž์ž…๋‹ˆ๋‹ค. ์„œ๋ฒ„๋Š” Music Assistant์˜ ํ•ต์‹ฌ ์—ญํ• ์„ ํ•˜๋ฉฐ Raspberry Pi, NAS ๋˜๋Š” Intel NUC ๊ฐ™์€ ํ•ญ์ƒ ์ผœ์ ธ ์žˆ๋Š” ๊ธฐ๊ธฐ์—์„œ ์‹คํ–‰๋˜์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

github-trendingOther

mattermost

Mattermost๋Š” ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ ๋ผ์ดํ”„์‚ฌ์ดํด ์ „๋ฐ˜์— ๊ฑธ์ณ ์•ˆ์ „ํ•œ ํ˜‘์—…์„ ์œ„ํ•œ ์˜คํ”ˆ์†Œ์Šค ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค.

github-trendingAI

iptv

์ „ ์„ธ๊ณ„์˜ ๊ณต๊ฐœ IPTV ์ฑ„๋„ ๋ชจ์Œ

github-trendingAI

LMCache

LMCache: ๊ฐ€์žฅ ๋น ๋ฅธ KV Cache Layer๋กœ LLM์„ ๊ฐ•ํ™”ํ•˜์„ธ์š”