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誘멸뎅 �젣議곗뾽, �깉濡쒖슫 瑜대꽕�긽�뒪瑜� 留욎쓣 |
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| �삤�뒛�궇 誘멸뎅�쓽 �젣議곗뾽��� �씠�쟾 �떆湲곕낫�떎 �뜑 留롮�� �씤�젰�쓣 怨좎슜�븯�뒗 遺꾩빞濡�, ����떎�닔 �쟾臾멸���뱾��� �씠�윭�븳 異붿꽭媛� 怨꾩냽�맆 寃껋쑝濡� �삁寃ы븯怨� �엳�떎. �쇅遺��뿉�꽌 蹂대뒗 �떆媛곴낵 �떖由�, 誘멸뎅�쓽 �젣議곗뾽��� �깉濡쒖슫 瑜대꽕�긽�뒪瑜� 留욎씠�븯湲� 吏곸쟾�씠�떎. 誘멸뎅�쓽 �젣議곗뾽�씠 遺��긽�븷 �븣 �뼱�뼡 �씪�씠 �씪�뼱�궇 寃껋씤媛�? |
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Location-Based Techn |
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| When General Motors introduced OnStar in some of its Cadillac models in 1996, it was pioneering an industry known as location-based services ?or LBS. Because of the existence of global positioning satellites that can triangulate the position of a GPS transmitter anywhere in the world, GM had the idea that roadside assistance and other services could be delivered to drivers in their cars on a subscription basis. |
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�깮�꽦�삎 AI�쓽 湲곕����� �뾽臾� �쁽�옣�쓽 �쁽 |
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| 2022�뀈 留�, ChatGPT�쓽 �벑�옣��� �깮�꽦�삎 �씤怨듭���뒫(generative AI)�쓣 ���以묒쟻 愿��떖�쓽 以묒떖�쑝濡� �걣�뼱�삱�졇�떎. �씠 湲곗닠��� �씠誘몄��, 臾몄옣, 肄붾뱶, �쓬�븙 �벑 �떎�뼇�븳 李쎌옉臾쇱쓣 �뒪�뒪濡� 留뚮뱾�뼱�궡硫�, �씤媛꾩쓽 李쎌쓽�꽦怨� �긽�긽�젰�쓣 蹂댁셿�븯嫄곕굹 ���泥댄븷 �닔 �엳�뒗 �룄援щ줈 二쇰ぉ諛쏄린 �떆�옉�뻽�떎. |
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����솕�젰�쓽 鍮꾨�� |
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| 저자 | �솴�떆�닾�븞 (吏�����씠), �젙�쁺�옱 (�삷湲댁씠) |
| 출판사 | 誘몃뵒�뼱�댉 |
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�븳�쓽�븰�쓣 留먰븯�떎 |
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| 저자 | �깢�쐢(�뿭�옄: �씠臾명샇쨌源�醫낆꽍) |
| 출판사 | 泥��솉(吏��긽�궗) |
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[441]권 
