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BCG AI Radar 2025: AI Impact Gap ํ•ด์†Œ๋ฅผ ์œ„ํ•œ ์ „๋žต ๋ณด๊ณ ์„œ

BCG AI Radar 2025: AI Impact Gap ํ•ด์†Œ๋ฅผ ์œ„ํ•œ ์ „๋žต ๋ณด๊ณ ์„œ https://web-assets.bcg.com/0b/f6/c2880f9f4472955538567a5bcb6a/ai-radar-2025-slideshow-jan-2025-r.pdf All the images, and the statistics are fr...

[OpenAI] GPT-5.2 ํ”„๋กฌํ”„ํŒ… ๊ฐ€์ด๋“œ: ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI ์—์ด์ „ํŠธ๋ฅผ ์œ„ํ•œ ์ตœ์ ํ™” ์ „๋žต

[OpenAI] GPT-5.2 ํ”„๋กฌํ”„ํŒ… ๊ฐ€์ด๋“œ: ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI ์—์ด์ „ํŠธ๋ฅผ ์œ„ํ•œ ์ตœ์ ํ™” ์ „๋žต https://cookbook.openai.com/examples/gpt-5/gpt-5-2_prompting_guide ์„œ๋ก  OpenAI์˜ GPT-5.2๋Š” ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ํ™˜๊ฒฝ๊ณผ ์—์ด์ „ํŠธ ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ์œ„ํ•ด ์„ค๊ณ„๋œ ์ตœ์‹  ํ”Œ๋ž˜๊ทธ์‹ญ ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. ์ด์ „ ...

[OpenAI] : OpenAI ์ตœ์‹  ํ”„๋Ÿฐํ‹ฐ์–ด ๋ชจ๋ธ GPT-5.2 ์ถœ์‹œ

[OpenAI] : OpenAI ์ตœ์‹  ํ”„๋Ÿฐํ‹ฐ์–ด ๋ชจ๋ธ GPT-5.2 ์ถœ์‹œ https://openai.com/ko-KR/index/introducing-gpt-5-2/ ์„œ๋ก  OpenAI๊ฐ€ ์ „๋ฌธ ์ง€์‹ ์—…๋ฌด์—์„œ ๊ฐ€์žฅ ๋›ฐ์–ด๋‚œ ์„ฑ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ชจ๋ธ ์‹œ๋ฆฌ์ฆˆ GPT-5.2๋ฅผ ๊ณต๊ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. GPT-5.2๋Š” ์ „๋ฌธ ์ž‘์—…๊ณผ ์žฅ์‹œ๊ฐ„ ์—์ด์ „ํŠธ(Agent) ...

[CS50] CS50x 2026 - Lecture 0 - Scratch

[CS50] CS50x 2026 - Lecture 0 - Scratch https://youtu.be/7ZJ4oo4h8vI ์ฐธ๊ณ  ์ž๋ฃŒ Harvard CS50: Introduction to Computer Science (https://cs50.harvard.edu/) ์›๋ณธ ์˜์ƒ: [ํ•œ๊ธ€๋”๋น™] โ€œAI๊ฐ€ ์ฝ”๋”ฉ ๋‹ค ํ•˜๋Š”๋ฐ ์™œ ๋ฐฐ์›Œ์š”...

[CES] CES 2026 ์  ์Šจ ํ™ฉ ๊ธฐ์กฐ์—ฐ์„ค ์ •๋ฆฌ

[CES] CES 2026 ์  ์Šจ ํ™ฉ ๊ธฐ์กฐ์—ฐ์„ค ์ •๋ฆฌ https://youtu.be/0NBILspM4c4 TL;DR NVIDIA๋Š” AI ์—ฐ์‚ฐ ์ˆ˜์š” ํญ์ฆ์— ๋Œ€์‘ํ•˜๊ธฐ ์œ„ํ•ด Vera Rubin GPU๋ฅผ ์–‘์‚ฐํ•˜๊ณ , Cosmos/Alpamayo๋กœ Physical AI ์‹œ๋Œ€๋ฅผ ์—ด๋ฉฐ, ๋ฐ˜๋„์ฒด๋ถ€ํ„ฐ ์ œ์กฐ๊นŒ์ง€ ์ „ ์‚ฐ์—…์— AI๋ฅผ ํ†ตํ•ฉํ•˜๋Š” Full Stack ...

[ํ† ํฌ] LLM ์™„๋ฒฝ ์ž…๋ฌธ ๊ฐ€์ด๋“œ: Andrej Karpathy ๊ฐ•์˜ ์ •๋ฆฌ

[ํ† ํฌ] LLM ์™„๋ฒฝ ์ž…๋ฌธ ๊ฐ€์ด๋“œ: Andrej Karpathy ๊ฐ•์˜ ์ •๋ฆฌ ์›๋ณธ ๊ฐ•์˜: Intro to Large Language Models - Andrej Karpathy (https://youtu.be/zjkBMFhNj_g) Slides as PDF: https://drive.google.com/file/d/1pxx_ZI7O-Nwl7ZLN...

AI ์—์ด์ „ํŠธ์˜ ํ•ต์‹ฌ ๊ฐœ๋… 20๊ฐ€์ง€: ๋ฌธ์ œ์™€ ํ•ด๊ฒฐ์ฑ…์œผ๋กœ ๋ฐฐ์šฐ๋Š” ์‹ค์ „ ๊ฐ€์ด๋“œ

AI ์—์ด์ „ํŠธ์˜ ํ•ต์‹ฌ ๊ฐœ๋… 20๊ฐ€์ง€: ๋ฌธ์ œ์™€ ํ•ด๊ฒฐ์ฑ…์œผ๋กœ ๋ฐฐ์šฐ๋Š” ์‹ค์ „ ๊ฐ€์ด๋“œ AI ์—์ด์ „ํŠธ๋Š” ๋‹จ์ˆœํ•œ ์ฑ—๋ด‡์„ ๋„˜์–ด ๋ณต์žกํ•œ ์ž‘์—…์„ ์ž์œจ์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๋Š” ์‹œ์Šคํ…œ์œผ๋กœ ์ง„ํ™”ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด ๊ณผ์ •์—์„œ ์ˆ˜๋งŽ์€ ๊ธฐ์ˆ ์  ๋„์ „๊ณผ์ œ๋“ค์ด ์กด์žฌํ•ฉ๋‹ˆ๋‹ค. ์ด ๊ธ€์—์„œ๋Š” AI ์—์ด์ „ํŠธ๊ฐ€ ์ง๋ฉดํ•˜๋Š” 20๊ฐ€์ง€ ํ•ต์‹ฌ ๋ฌธ์ œ์™€ ๊ทธ ํ•ด๊ฒฐ์ฑ…์„ ํ•˜๋‚˜์”ฉ ํ’€์–ด๊ฐ€๋ฉฐ, ์‹ค์ œ ๊ธฐ์—… ์‚ฌ๋ก€์™€ ํ•จ๊ป˜...

[Paper Review] LLaVA: Visual Instruction Tuning - ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ AI์˜ ์ƒˆ๋กœ์šด ํŒจ๋Ÿฌ๋‹ค์ž„

[Paper Review] LLaVA: Visual Instruction Tuning - ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ AI์˜ ์ƒˆ๋กœ์šด ํŒจ๋Ÿฌ๋‹ค์ž„ https://arxiv.org/pdf/2304.08485 ๋…ผ๋ฌธ ์ •๋ณด ์ œ๋ชฉ: Visual Instruction Tuning ์ €์ž: Haotian Liu, Chunyuan Li, Qingyang Wu, Yon...

[Paper Review] LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

[Paper Review] LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models https://arxiv.org/pdf/2403.15388 ๋…ผ๋ฌธ ์ •๋ณด ์ œ๋ชฉ: LLaVA-PruMerge: Adaptive Token Reduction for Eff...

F-Lab AI ์—ญ๋Ÿ‰ ์ง„๋‹จ ํ…Œ์ŠคํŠธ - ์ •๋‹ต ๋ฐ ํ•ด์„ค

F-Lab AI ์—ญ๋Ÿ‰ ์ง„๋‹จ ํ…Œ์ŠคํŠธ - ์ •๋‹ต ๋ฐ ํ•ด์„ค ์†Œ๊ฐœ ๋„ค์ด๋ฒ„, ์นด์นด์˜ค, ํ† ์Šค, ์•„๋งˆ์กด, ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ ์ถœ์‹  ์ƒ์œ„ 1% ๊ฐœ๋ฐœ์ž๋“ค์ด ๋ฉ˜ํ† ๋กœ ํ™œ๋™ํ•˜๋Š” F-Lab์—์„œ AI ์—ญ๋Ÿ‰ ์ง„๋‹จ ํ…Œ์ŠคํŠธ๋ฅผ ๊ณต๊ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. LLM, RAG, AI Agent, Function Calling, ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ๊นŒ์ง€โ€”์š”์ฆ˜ AI ์—”์ง€๋‹ˆ์–ด๋ง์—์„œ ํ•ต์‹ฌ์œผ๋กœ ๊ผฝํžˆ๋Š” ๊ฐœ๋…๋“ค์„ 6๋‹จ๊ณ„ ๋‚œ์ด๋„...