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Welcome to the Gemini Era

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Google이 드디어 OpenAI에 대한 반격을 시작한걸까요?

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구글이 ‘Gemini’라는 이름의 초거대 모델을 갑작스럽게 공개했습니다. MMLU 벤치마크에서 GPT-4를 넘으며, 32개 중 30개에서 SOTA를 달성했다고 하네요.

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그리고 멀티모달 모델이여서 텍스트뿐만 아니라 음성, 이미지, 비디오까지 입력이 가능한 형태라고 합니다.

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Gemini의 테크니컬 리포트 를 보면 아래와 같은 이미지가 나옵니다.

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단순 텍스트 뿐만 아니라, 이미지도 입력이 가능하다보니 위와 같은 형태의 프롬프트가 가능하네요. 이렇게 되면 OCR 같은 기술들이나 이미지 캡셔닝이 따로 필요하지 않을 것 같습니다.

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예견된 미래였지만, 텍스트든, 이미지든, 음성이든, 비디오든 AI의 입력 및 출력에 자유자재로 사용되는 세상이 생각보다도 역시나 더 빠르게 다가왔네요.

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또 Gemini를 이용해서 AlphaCode => AlphaCode2로 강화했다고 하는데, 무려 85%의 사람보다 코딩을 잘한다고 합니다. 이렇게 되면 AlphaCode2와 같은 코드 생성 AI를 활용 잘하는 사람 한 명의 생산성이 크게 늘어날테니 개발자들 일자리가 많이 줄어들 것 같네요.

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이제는 꼭 AI 쪽 개발자가 아니더라도 프롬프트 엔지니어링을 잘하는 개발자일수록 생산성이 늘어나고 경쟁력이 높아질 것 같습니다 :)

","htmlAst":{"type":"root","children":[{"type":"element","tagName":"h1","properties":{},"children":[{"type":"text","value":"Welcome to the Gemini Era"}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"Google이 드디어 OpenAI에 대한 반격을 시작한걸까요?"}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"구글이 ‘Gemini’라는 이름의 초거대 모델을 갑작스럽게 공개했습니다. MMLU 벤치마크에서 GPT-4를 넘으며, 32개 중 30개에서 SOTA를 달성했다고 하네요."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"그리고 멀티모달 모델이여서 텍스트뿐만 아니라 음성, 이미지, 비디오까지 입력이 가능한 형태라고 합니다."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"element","tagName":"a","properties":{"href":"https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf"},"children":[{"type":"text","value":"Gemini의 테크니컬 리포트"}]},{"type":"text","value":" 를 보면 아래와 같은 이미지가 나옵니다."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"img","properties":{"width":600,"alt":"image","src":"https://github.com/sooftware/sooftware.io/assets/42150335/02b0c26f-5f05-46b8-a7aa-26bd6b7eb7ea"},"children":[]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"단순 텍스트 뿐만 아니라, 이미지도 입력이 가능하다보니 위와 같은 형태의 프롬프트가 가능하네요. 이렇게 되면 OCR 같은 기술들이나 이미지 캡셔닝이 따로 필요하지 않을 것 같습니다."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"예견된 미래였지만, 텍스트든, 이미지든, 음성이든, 비디오든 AI의 입력 및 출력에 자유자재로 사용되는 세상이 생각보다도 역시나 더 빠르게 다가왔네요."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"또 Gemini를 이용해서 AlphaCode => AlphaCode2로 강화했다고 하는데, 무려 85%의 사람보다 코딩을 잘한다고 합니다. 이렇게 되면 AlphaCode2와 같은 코드 생성 AI를 활용 잘하는 사람 한 명의 생산성이 크게 늘어날테니 개발자들 일자리가 많이 줄어들 것 같네요."}]},{"type":"text","value":"\n"},{"type":"element","tagName":"p","properties":{},"children":[{"type":"text","value":"이제는 꼭 AI 쪽 개발자가 아니더라도 프롬프트 엔지니어링을 잘하는 개발자일수록 생산성이 늘어나고 경쟁력이 높아질 것 같습니다 :)"}]}],"data":{"quirksMode":false}},"excerpt":"Welcome to the Gemini Era Google이 드디어 OpenAI에 대한 반격을 시작한걸까요? 구글이 ‘Gemini’라는 이름의 초거대 모델을 갑작스럽게 공개했습니다. MMLU 벤치마크에서 GPT-4를 넘으며, 32개 중 3…","fields":{"readingTime":{"text":"3 min read"}},"frontmatter":{"title":"Welcome to the Gemini Era","userDate":"7 December 2023","date":"2023-12-07T10:00:00.000Z","tags":["news"],"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#080808","images":{"fallback":{"src":"/static/a3a835addaf3b2535fb6d7c81f1dc68c/6e89c/gemini.png","srcSet":"/static/a3a835addaf3b2535fb6d7c81f1dc68c/6e89c/gemini.png 744w","sizes":"100vw"},"sources":[{"srcSet":"/static/a3a835addaf3b2535fb6d7c81f1dc68c/02bc4/gemini.webp 744w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.7741935483870968}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"children":[{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}]}}]}},"relatedPosts":{"totalCount":3,"edges":[{"node":{"id":"51fffa98-708f-5d31-880e-da5b8a8b623b","excerpt":"Meta는 왜 LLaMA를 공개할까? 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