{"id":6282,"date":"2025-08-25T05:26:25","date_gmt":"2025-08-24T20:26:25","guid":{"rendered":"https:\/\/itjaeneungnanum.org\/?p=6282"},"modified":"2025-08-25T05:26:25","modified_gmt":"2025-08-24T20:26:25","slug":"2025-08-25-%ec%9d%b4%ec%a3%bc%ec%9d%98-%ec%9d%b8%ea%b3%b5%ec%a7%80%eb%8a%a5_%ec%96%b8%ec%96%b4%eb%aa%a8%eb%8d%b8-%ec%9c%a0%ed%8a%9c%eb%b8%8c","status":"publish","type":"post","link":"https:\/\/itjaeneungnanum.org\/?p=6282","title":{"rendered":"2025-08-25 \uc774\uc8fc\uc758 \uc778\uacf5\uc9c0\ub2a5_\uc5b8\uc5b4\ubaa8\ub378 \uc720\ud29c\ube0c"},"content":{"rendered":"

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\uc778\uacf5\uc9c0\ub2a5_\uc5b8\uc5b4\ubaa8\ub378 \uc720\ud29c\ube0c 2025-08-25<\/h3>\n
[INNB & \uc815\ubcf4\uae30\uc220\uc7ac\ub2a5\ub098\ub214] 2025\ub144 \u110b\u1175\u11ab\u1100\u1169\u11bc\u110c\u1175\u1102\u1173\u11bc \u110b\u1175\u1106\u1175\u110c\u1175\u1106\u1169\u1103\u1166\u11af\uc758 \u1109\u1162\u11bc\u1110\u1162\u1100\u1168<\/a>
[Discovify KR] AI\uac00 \uace0\ub798 \uc5b8\uc5b4\ub97c \ud574\ub3c5\ud588\ub2e4\u2026 \uadf8\ub7f0\ub370 \uacb0\uacfc\uac00 \ucda9\uaca9\uc801\uc774\ub2e4<\/a>
[\uc11c\uc6b8 AI \ud5c8\ube0c] [AIFS] \uc11c\uc6b8 AI \ud5c8\ube0c \u201cMS \uc138\ubbf8\ub098\u201d #2 – AI \ud504\ub860\ud2f0\uc5b4 \uc2dc\ub300! \uc0dd\uc874\uc744 \uc704\ud55c \uc5f4\ub9b0 AI \uae30\uc220\ub4e4<\/a>
[\ucef4\ub2ec\uc778 – \ucef4\ud4e8\ud130 \ub2ec\uc778] [\uc778\uacf5\uc9c0\ub2a5,\uba38\uc2e0\ub7ec\ub2dd,\ub525\ub7ec\ub2dd] (\uc2ec\ud654) Llama Nemotron: Efficient Reasoning Models<\/a>
[\ub370\ube0c\uae30\uc5b4] [\ud55c\uad6d\uc5b4 \ub354\ube59 \ube44\ub514\uc624 – AI \ucf54\ub4dc\ucea0\ud504 2025] \ub2e4\ub978 \ubaa8\ub378\ub4e4\uacfc \ub2e4\ub978 \ud574\uacb0\ucc45\ub4e4 – Dion Mai<\/a>
[AI \uc138\uacc4\ub274\uc2a4\uc0c1\uc2dd] AI\ub274\uc2a4(2025.8.21): Google, MIT\uc5f0\uad6c, \ud55c\uad6dLLM, \uc5c5\uc2a4\ud14c\uc774\uc9c0 #ai\ub274\uc2a4 #ai\ud22c\uc790<\/a>
[\ud2f0\ud0c0\uc784\uc988TV] ‘\ub0b4 AI\ub294 \uc65c \uba4d\uccad\ud558\uc9c0?’ \uace0\ubbfc\ub41c\ub2e4\uba74 \ubd10\uc57c\ud560 \uae30\ubcf8\uae30 (\uc784\ub3d9\uc900 \uc6b0\uc544\ud55c\ud615\uc81c\ub4e4 \uac1c\ubc1c\uc790)<\/a>
[OBS\ub274\uc2a4] \uc138\uacc4\uc2dc\uc7a5\uc11c ‘AI’\ub294 \uc120\ud0dd\uc774 \uc544\ub2cc \ud544\uc218… \uae30\uc5c5\ub4e4\ub3c4 \ud22c\uc790 \ud655\ub300\ud574 \uacbd\uc7c1\ub825 \ub298\ub824<\/a>
[Deep Nexus One] \ub099\uad00\ub860 \u2013 20\ub144 \ub0b4 \uc778\uac04 \uc218\uc900 AI \uac00\ub2a5\ud558\ub2e4\ub294 \ubbff\uc74c<\/a>
[\uba85\uc778\uc774\ub178 \uacf5\uc2dd \uc720\ud29c\ube0c \ucc44\ub110] \uc628\ud504\ub808\ubbf8\uc2a4 \uc0dd\uc131\ud615 AI \uc5b4\ud50c\ub77c\uc774\uc5b8\uc2a4 \uc194\ub8e8\uc158 MTrue AI<\/a>
[\uc2dc\uc5f0\uc544\ube60] \uc81c1\uac15 \uc778\uacf5\uc9c0\ub2a5\uacfc\uc758 \uccab\ub9cc\ub0a8, Gemini \uc2dc\uc791\ud558\uae30<\/a>
[Closer To Truth] Robin Hanson on AI and Large Language Models | Closer To Truth Chats<\/a>
[Giggle Dive] AI\uac00 \ub2f9\uc2e0\uc758 \uc5b8\uc5b4\ub85c \ub9d0\ud55c\ub2e4! \uc5d4\ube44\ub514\uc544\uc758 \ucda9\uaca9 \ubc1c\ud45c<\/a>
[KBS\ub274\uc2a4 \uc804\ubd81] \ucc28\uc138\ub300 \uc778\uacf5\uc9c0\ub2a5 \ud53c\uc9c0\uceec AI\u2026\u201c\uc804\ubd81 \uc131\uc7a5 \ub3d9\ub825\u201d \/ KBS 2025.08.20.<\/a>
[\ud749\ud130\uce68\ud2bc\uc0b4\uce68] #\ub4c0\uc5bc\ube0c\ub808\uc778 \uc774\uc120\ubab0\ub9ad \uc778\uacf5\uc9c0\ub2a5 \ub300\uaddc\ubaa8\uc5b8\uc5b4\ubaa8\ub378 \uc790\uc728\uc8fc\ud589 \uc678\uacc4\uc9c0\uc131 \ud83c\udfa5 \ud130\ubbf8\ub124\uc774\ud130 \uccb4\uc2a4 \ubca4\uc790\ubbfc\ud50c\ub7ad\ud074\ub9b0 \ub098\ud3f4\ub808\uc639 \uc560\ub4dc\uac00\uc568\ub7f0\ud3ec \uc624\uc2a4\ub9cc\uc81c\uad6d\uc758\ub9c8\ubc95\uc0ac \uae30\uacc4\uc2dd\ud280\ub974\ud06c\uc778 \uc568\ub7f0\ud29c\ub9c1 \ucef4\ud4e8\ud130\ud559\uc790 \uc874\ub9e4\uce74\uc2dc<\/a>
[Deep Nexus One] AI\ub294 \ub2e8\uc5b4\ub97c \uc22b\uc790\ub85c \uc774\ud574\ud55c\ub2e4 \u2013 \uc784\ubca0\ub529\uc758 \uc815\uccb4 #AI #\uc784\ubca0\ub529 #GPT #\ub525\ub7ec\ub2dd #AIOdyssey #\uc790\uc5f0\uc5b4\ucc98\ub9ac #ChatGPT\uc6d0\ub9ac #Transformer<\/a>
[\ubbf8\ub798\uc5d0\uc14b \uc2a4\ub9c8\ud2b8\uba38\ub2c8(Smart Money)] \uc911\uad6d AI \ud0d0\ubc29\uae30 : WAIC2025\uc640 \ub300\ub959\uc758 \uc790\uc728\uc8fc\ud589\u3163\ubcf4\uc774\ub294 \ucc28\uc774\ub098X\uc720\ud1a0\ud53c\uc544\u31632025.8.21(\ubaa9)<\/a>
[KT – \ucf00\uc774\ud2f0] \uc9c0\ub2c8 TV AI \uc5d0\uc774\uc804\ud2b8 \ucd9c\uc2dc \ud64d\ubcf4 \uc601\uc0c1 2\ud0c4<\/a>
[\uc6f0\uce20\ub7a9\uc2a4 – Welch Labs Korea] AI\ub294 \uc65c \uc544\uc9c1\ub3c4 \u2018\ub0b4\ub9ac\ub9c9\uae38\u2019\uc744 \uac77\ub294\uac00? | \uacbd\uc0ac\ud558\uac15\ubc95\uacfc \uc9c0\uc5ed \uadf9\uc19f\uac12<\/a>
[Deep Nexus One] AI\uac00 \uac10\uac01\uc744 \uac16\ub294\ub2e4\uba74? \ub4e3\uace0, \ubcf4\uace0, \ub9d0\ud558\ub294 AI\uc758 \ud0c4\uc0dd<\/a>
[\ud1a0\ubaa9\uc5d4\uc9c0\ub2c8\uc5b4 \ub3cc\uc885] \uad6d\ub0b4 AI \ubc30\ud2c0 \uc0ac\uc774\ud2b8. \ubb34\ub8cc\ub85c \ucd5c\uac15 \ubaa8\ub378\ub4e4 \uc0ac\uc6a9 \uac00\ub2a5(\uad6d\uc0b0 \ubaa8\ub378 \ud3ec\ud568)<\/a>
[IB 96] \uc694\uc998 \ubaa8\ub974\uba74 \uc548\ub418\ub294 \uad6c\uae00\uc81c\ubbf8\ub098\uc774 \uc778\uacf5\uc9c0\ub2a5 \uae30\ub2a5 \uc774\uc6a9\ubc29\ubc95<\/a>
[\uc5b8\ub354\uc2a4\ud0e0\ub529 : \uc138\uc0c1\uc758 \ubaa8\ub4e0 \uc9c0\uc2dd] GPU \ud544\uc694 \uc5c6\ub294 AI \uc804\uc138\uacc4 \ub09c\ub9ac\ub0ac\uc2b5\ub2c8\ub2e4 (\uc720\uc2b9\uc7ac \ud398\ub974\uc18c\ub098AI \ub300\ud45c)<\/a>
[\ub9ac\ub300\ub85c] \ud55c\uad6d\ud615\uc778\uacf5\uc9c0\ub2a5 \ubc1c\uc804 \ubc29\ud5a5\uc744 \uc81c\uc2dc\ud55c\ub2e4.<\/a>
[Closer To Truth] Robin Hanson on AI and Large Language Models | Closer To Truth Chats<\/a>
[AI Revolution] Google Just Dropped Mangle – The Most Powerful AI Reasoning Language<\/a>
[Wes Roth] AI Models about to BREAK the markets<\/a>
[AI Revolution] Liquid AI Just Dropped the Fastest, Best Open-Source Foundation Model<\/a>
[Rohan] Understanding LLMs: How AI Language Models Work<\/a>
[Programming with Mosh] A Practical AI Course for Developers is Coming…<\/a>
[The AI Daily Brief: Artificial Intelligence News] Is AI "Model Welfare" a Thing?<\/a>
[The Hustle Hive] Large Language Models Explained \ud83e\udd2f | AI Breakthroughs You NEED to Know! #ai2025<\/a>
[App Tutor] Grok 4 vs ChatGPT Honest Review | Which AI language model is better?<\/a>
[GPT Radar] Exploring the Evolution of AI Language Models<\/a>
[Emesa Trends Agency] Why Small Language Models Could Replace LLMs (The Future of AI Agents)<\/a>
[Data Science in your pocket] NVIDIA Small Language Models are the Future of Agentic AI Paper Explained<\/a>
[Leanpub] Leanpub book LAUNCH \ud83d\ude80 The Inner Workings of Large Language Models by Roger Gullhaug #books #llms #ai<\/a>
[Sathishkumar Jagadeesan] The Story Of Large Language Models (AI)<\/a>
[freeCodeCamp.org] LLM from Scratch Tutorial \u2013 Code & Train Qwen 3<\/a>
[Bizzit AI] Deep Dive \/\/ Small Language Models are the Future of Agentic AI<\/a>
[Matcha Kalai] Ep. 2 How Does AI Actually \u201cThink\u201d? Inside Large Language Models (LLMs) Explained!<\/a>
[Uncut Kwon] Quick Guide: LLMs and AI Tools in 1 Minute.<\/a>
[Listening to AI Papers] [AI Podcast] Training language models to follow instructions with human feedback<\/a>
[GPT Radar] Inside the Cutting Edge: AI Language Models Today and Their Real-World Impact<\/a>
[GPT Radar] Unveiling the Latest Developments in Language Models<\/a>
[Matter of Time] AI and the STUNNING truth about its data<\/a>
[The Information] Grammarly CEO on its AI Agents & LLMs in Action<\/a>
[Google for Developers] Talking to computers<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc778\uacf5\uc9c0\ub2a5_\uc5b8\uc5b4\ubaa8\ub378 \uc720\ud29c\ube0c 2025-08-25 [INNB & \uc815\ubcf4\uae30\uc220\uc7ac\ub2a5\ub098\ub214] 2025\ub144 \u110b\u1175\u11ab\u1100\u1169\u11bc\u110c\u1175\u1102\u1173\u11bc \u110b\u1175\u1106\u1175\u110c\u1175\u1106\u1169\u1103\u1166\u11af\uc758 \u1109\u1162\u11bc\u1110\u1162\u1100\u1168[Discovify KR] AI\uac00 \uace0\ub798 \uc5b8\uc5b4\ub97c \ud574\ub3c5\ud588\ub2e4\u2026 \uadf8\ub7f0\ub370 \uacb0\uacfc\uac00 \ucda9\uaca9\uc801\uc774\ub2e4[\uc11c\uc6b8 AI \ud5c8\ube0c] [AIFS] \uc11c\uc6b8 AI \ud5c8\ube0c \u201cMS \uc138\ubbf8\ub098\u201d #2 – AI \ud504\ub860\ud2f0\uc5b4 \uc2dc\ub300! \uc0dd\uc874\uc744 \uc704\ud55c \uc5f4\ub9b0 AI \uae30\uc220\ub4e4[\ucef4\ub2ec\uc778 – \ucef4\ud4e8\ud130 \ub2ec\uc778] [\uc778\uacf5\uc9c0\ub2a5,\uba38\uc2e0\ub7ec\ub2dd,\ub525\ub7ec\ub2dd] (\uc2ec\ud654) Llama Nemotron: Efficient Reasoning Models[\ub370\ube0c\uae30\uc5b4] [\ud55c\uad6d\uc5b4 \ub354\ube59 \ube44\ub514\uc624 – AI \ucf54\ub4dc\ucea0\ud504 2025] \ub2e4\ub978 \ubaa8\ub378\ub4e4\uacfc …<\/p>\n
2025-08-25 \uc774\uc8fc\uc758 \uc778\uacf5\uc9c0\ub2a5_\uc5b8\uc5b4\ubaa8\ub378 \uc720\ud29c\ube0c<\/span> \ub354 \ubcf4\uae30 »<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[47],"tags":[51],"_links":{"self":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6282"}],"collection":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6282"}],"version-history":[{"count":1,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6282\/revisions"}],"predecessor-version":[{"id":6283,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6282\/revisions\/6283"}],"wp:attachment":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}