{"id":598,"date":"2023-04-11T16:32:59","date_gmt":"2023-04-11T07:32:59","guid":{"rendered":"https:\/\/bocek.co.jp\/media\/?p=598"},"modified":"2023-04-29T20:13:21","modified_gmt":"2023-04-29T11:13:21","slug":"%e3%80%90llm%e9%96%8b%e7%99%ba%e3%80%91gpt%e3%82%92%e7%9b%ae%e7%9a%84%e3%81%ab%e7%89%b9%e5%8c%96%e3%81%95%e3%81%9b%e3%82%8b%ef%bc%92%e7%a8%ae%e9%a1%9e%e3%81%ae%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/taskhub.jp\/magazine\/ai-development\/598\/","title":{"rendered":"\u3010LLM\u958b\u767a\u3011GPT\u3092\u76ee\u7684\u306b\u7279\u5316\u3055\u305b\u308b\uff12\u7a2e\u985e\u306e\u65b9\u6cd5"},"content":{"rendered":"\n

\u306f\u3058\u3081\u306b\u30fbLLM\u3068\u306f<\/h2>\n\n\n\n

Large Language Model (LLM) \u306f\u3001\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u306e\u4e00\u7a2e\u3067\u3001\u6700\u3082\u6709\u540d\u306a\u4f8b\u3068\u3057\u3066OpenAI\u304c\u958b\u767a\u3057\u305fGPT\u30b7\u30ea\u30fc\u30ba\u304c\u3042\u308a\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001LLM\u3092\u7528\u3044\u305f\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u3092\u884c\u3044\u305f\u3044\u3042\u306a\u305f\u3078\u3001GPT\u3092\u76ee\u7684\u306b\u7279\u5316\u3055\u305b\u3066\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3059\u308b\uff12\u3064\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u305d\u308c\u305e\u308c\u306b\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u4f5c\u308a\u305f\u3044\u3082\u306e\u306b\u5408\u308f\u305b\u3066\u4f7f\u3044\u5206\u3051\u305f\u308a\u3001\u4f75\u7528\u3057\u305f\u308a\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\u7279\u5316\u3055\u305b\u308b\u30e1\u30ea\u30c3\u30c8<\/h2>\n\n\n\n

LLM\u3092\u7279\u5316\u3055\u305b\u308b\u3053\u3068\u306b\u3088\u308b\u30e1\u30ea\u30c3\u30c8\u306f\u3001\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n

    \n
  1. \u3088\u308a\u7cbe\u5ea6\u306e\u9ad8\u3044\u7d50\u679c\u3092\u5f97\u3089\u308c\u308b<\/li>\n\n\n\n
  2. \u5fdc\u7b54\u901f\u5ea6\u304c\u5411\u4e0a\u3059\u308b<\/li>\n\n\n\n
  3. \u7279\u5b9a\u306e\u7528\u9014\u306b\u5408\u308f\u305b\u305f\u5fdc\u7b54\u304c\u53ef\u80fd\u306b\u306a\u308b<\/li>\n<\/ol>\n\n\n\n

    \u3053\u308c\u306b\u3088\u308a\u3001\u3088\u308a\u52b9\u7387\u7684\u3067\u4f7f\u3044\u3084\u3059\u3044\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

    \u7279\u5316\u3055\u305b\u308b\u65b9\u6cd5\u2460 Fine-tuning<\/h2>\n\n\n\n

    Fine-tuning\u306f\u3001\u65e2\u5b58\u306eLLM\u3092\u30d9\u30fc\u30b9\u306b\u3001\u8ffd\u52a0\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u30e2\u30c7\u30eb\u3092\u518d\u5b66\u7fd2\u3055\u305b\u308b\u3053\u3068\u3067\u3001\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u3084\u9818\u57df\u306b\u5bfe\u3057\u3066\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u308b\u624b\u6cd5\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u6a19\u6e96\u306eLLM\u3067\u306f\u5bfe\u5fdc\u3067\u304d\u306a\u3044\u3088\u3046\u306a\u7279\u6b8a\u306a\u8981\u6c42\u306b\u3082\u5bfe\u5fdc\u53ef\u80fd\u306a\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

    \u7279\u5316\u3055\u305b\u308b\u65b9\u6cd5\u2461 Prompt Design<\/h2>\n\n\n\n

    Prompt Design\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u5165\u529b\u3092\u9069\u5207\u306b\u8a2d\u8a08\u3059\u308b\u3053\u3068\u3067\u3001LLM\u304c\u76ee\u7684\u306b\u6cbf\u3063\u305f\u5fdc\u7b54\u3092\u751f\u6210\u3059\u308b\u78ba\u7387\u3092\u9ad8\u3081\u308b\u624b\u6cd5\u3067\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u3001\u5165\u529b\u6587\u3092\u5de5\u592b\u3057\u3066\u3001\u30e2\u30c7\u30eb\u304c\u76ee\u7684\u306b\u6cbf\u3063\u305f\u60c5\u5831\u3092\u63d0\u4f9b\u3059\u308b\u3088\u3046\u8a98\u5c0e\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u958b\u767a\u8005\u306f\u65e2\u5b58\u306eLLM\u3092\u6d3b\u7528\u3057\u306a\u304c\u3089\u3001\u76ee\u7684\u306b\u7279\u5316\u3057\u305f\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

    index\u3068\u547c\u3070\u308c\u308b\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u524d\u51e6\u7406\u306e\u65b9\u6cd5\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u6027\u3092\u9ad8\u3081\u3001\u4e00\u5b9a\u306e\u7cbe\u5ea6\u3092\u4fdd\u3064\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

    \uff12\u624b\u6cd5\u306e\u6bd4\u8f03\uff08\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\uff09<\/h2>\n\n\n\n

    Fine-tuning\u3068Prompt Design\u306f\u3001\u305d\u308c\u305e\u308c\u7570\u306a\u308b\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

    \u89b3\u70b9<\/th>Fine-tuning<\/th>Prompt Design<\/th><\/tr><\/thead>
    \u7cbe\u5ea6<\/td>\u9ad8\u3044<\/td>\u4e00\u5b9a\u306e\u7cbe\u5ea6<\/td><\/tr>
    \u6599\u91d1\uff08Davinci \u30e2\u30c7\u30eb\u60f3\u5b9a\uff09<\/td>$0.1200 \/ 1K tokens<\/td>$0.0200 \/ 1K tokens<\/td><\/tr>
    \u8ffd\u52a0\u6599\u91d1<\/td>\u8ffd\u52a0\u306e\u5b66\u7fd2\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308b\u53ef\u80fd\u6027\u3042\u308a<\/td>\u8ffd\u52a0\u30b3\u30b9\u30c8\u304c\u4f4e\u3044<\/td><\/tr>
    \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u6027<\/td>\u5b66\u7fd2\u6642\u671f\u306b\u4f9d\u5b58<\/td>\u9ad8\u3044<\/td><\/tr>
    \u500b\u5225\u6700\u9069\u5316<\/td>\u5f31\u3044\uff08\u5b66\u7fd2\u30c7\u30fc\u30bf\u542b\u3081\u308b\u5fc5\u8981\u304c\u3042\u308b\uff09<\/td>\u5f37\u3044\uff08\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u500b\u5225\u60c5\u5831\u3092\u542b\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u304b\u3089\uff09<\/td><\/tr>
    \u5fdc\u7b54\u901f\u5ea6<\/td>\u901f\u3044<\/td>\u9045\u3044<\/td><\/tr>
    \u958b\u767a\u901f\u5ea6<\/td>\u9045\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff08\u8ffd\u52a0\u5b66\u7fd2\u306b\u6642\u9593\u3092\u8981\u3059\u308b\uff09<\/td>\u8fc5\u901f\uff08\u5165\u529b\u6587\u306e\u5de5\u592b\u306b\u3088\u308a\uff09<\/td><\/tr>
    \u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u6027<\/td>\u8ffd\u52a0\u30c7\u30fc\u30bf\u3084\u518d\u5b66\u7fd2\u304c\u5fc5\u8981\u306a\u5834\u5408\u304c\u3042\u308b<\/td>LLM\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u306b\u8ffd\u5f93\u3057\u3084\u3059\u3044<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    \u307e\u3068\u3081<\/h2>\n\n\n\n

    \u672c\u8a18\u4e8b\u3067\u306f\u3001LLM\u3092\u7528\u3044\u305f\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306b\u304a\u3044\u3066\u3001GPT\u3092\u76ee\u7684\u306b\u7279\u5316\u3055\u305b\u3066\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3059\u308b\uff12\u3064\u306e\u65b9\u6cd5\u3001Fine-tuning\u3068Prompt Design\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3057\u305f\u3002\u305d\u308c\u305e\u308c\u306e\u624b\u6cd5\u306b\u306f\u30e1\u30ea\u30c3\u30c8\u30fb\u30c7\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308a\u3001\u958b\u767a\u8005\u306f\u81ea\u5206\u306e\u76ee\u7684\u306b\u5fdc\u3058\u3066\u4f7f\u3044\u5206\u3051\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u307e\u305f\u3001\uff12\u3064\u306e\u65b9\u6cd5\u3092\u4f75\u7528\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u624b\u6cd5\u3092\u7406\u89e3\u3057\u3001\u9069\u5207\u306b\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u52b9\u7387\u7684\u3067\u4f7f\u3044\u3084\u3059\u3044\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u306f\u3058\u3081\u306b\u30fbLLM\u3068\u306f Large Language Model (LLM) \u306f\u3001\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u306e\u4e00\u7a2e\u3067\u3001\u6700\u3082\u6709\u540d\u306a\u4f8b\u3068\u3057\u3066OpenAI\u304c\u958b\u767a\u3057\u305fGPT\u30b7\u30ea\u30fc\u30ba\u304c\u3042\u308a\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001LLM […]<\/p>\n","protected":false},"author":5,"featured_media":611,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":""},"categories":[50],"tags":[],"_links":{"self":[{"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/posts\/598"}],"collection":[{"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/comments?post=598"}],"version-history":[{"count":4,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/posts\/598\/revisions"}],"predecessor-version":[{"id":734,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/posts\/598\/revisions\/734"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/media\/611"}],"wp:attachment":[{"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/media?parent=598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/categories?post=598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/taskhub.jp\/magazine\/wp-json\/wp\/v2\/tags?post=598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}