{"id":14001,"date":"2023-08-09T09:00:00","date_gmt":"2023-08-09T03:30:00","guid":{"rendered":"https:\/\/www.datalabelify.com\/en\/?p=14001"},"modified":"2023-10-25T12:58:08","modified_gmt":"2023-10-25T07:28:08","slug":"unleash-the-power-of-gpt-3-5-turbo-become-a-fine-tuning-master-with-openais-api","status":"publish","type":"post","link":"https:\/\/www.datalabelify.com\/ja\/gpt-3-5-turbo-\u306e\u529b\u3092\u89e3\u304d\u653e\u3061\u3001openais-api-\u3067\u5fae\u8abf\u6574\u30de\u30b9\u30bf\u30fc\u306b\u306a\u308b\/","title":{"rendered":"GPT-3.5 Turbo \u306e\u529b\u3092\u89e3\u304d\u653e\u3064: OpenAI \u306e API \u3067\u5fae\u8abf\u6574\u30de\u30b9\u30bf\u30fc\u306b\u306a\u308a\u307e\u3057\u3087\u3046!"},"content":{"rendered":"
\"\u30c1\u30e3\u30c3\u30c8
\u30c1\u30e3\u30c3\u30c8 GPT 3.5 \u30bf\u30fc\u30dc<\/figcaption><\/figure>\n

OpenAI' \u306e API \u3092\u4f7f\u7528\u3057\u3066 GPT-3.5 Turbo \u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u65b9\u6cd5\u3092\u8aac\u660e\u3059\u308b\u8a18\u4e8b\u3078\u3088\u3046\u3053\u305d\u3002<\/p>\n

\u5fae\u8abf\u6574\u306e\u529b\u3092\u5229\u7528\u3057\u3066\u3001GPT-3.5 \u3092\u9650\u754c\u3092\u8d85\u3048\u3066\u5f37\u5316\u3057\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f GPT-4 \u3092\u3082\u8d85\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u591a\u69d8\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210\u3001\u5fc5\u8981\u306a\u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u3001\u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u5b9f\u9a13\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

OpenAI \u3092\u4f7f\u7528\u3057\u3066\u5fae\u8abf\u6574\u306e\u6280\u8853\u3092\u7fd2\u5f97\u3057\u3001GPT-3.5 Turbo \u306e\u771f\u306e\u6a5f\u80fd\u3092\u89e3\u653e\u3059\u308b\u6e96\u5099\u3092\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n

\u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8<\/h2>\n
    \n
  • \u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001GPT-3.5 Turbo \u5fae\u8abf\u6574 API \u304c OpenAI \u306b\u3088\u3063\u3066\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u307e\u3057\u305f\u3002<\/li>\n
  • Scale \u306f OpenAI \u306e\u63a8\u5968\u30a8\u30f3\u30bf\u30fc\u30d7\u30e9\u30a4\u30ba\u5fae\u8abf\u6574\u30d1\u30fc\u30c8\u30ca\u30fc\u3067\u3042\u308a\u3001\u591a\u69d8\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u9ad8\u54c1\u8cea\u306e\u30c7\u30fc\u30bf\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n
  • OpenAI \u306e\u5fae\u8abf\u6574 API \u306b\u3088\u308a\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u306e\u4e88\u7d04\u3068\u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u304c\u5bb9\u6613\u306b\u306a\u308a\u3001\u5fc5\u8981\u306a API \u547c\u3073\u51fa\u3057\u306f 1 \u56de\u3060\u3051\u3067\u3059\u3002<\/li>\n
  • \u5fae\u8abf\u6574\u306b\u3088\u308a\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u304c\u5411\u4e0a\u3057\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f GPT-4 \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u4e0a\u56de\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ul>\n

    GPT-3.5 \u30bf\u30fc\u30dc\u3068\u5fae\u8abf\u6574\u306e\u80cc\u666f<\/h2>\n

    GPT-3.5 Turbo \u306e\u6a5f\u80fd\u3068\u5fae\u8abf\u6574\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u5b8c\u5168\u306b\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u3001\u3053\u306e\u9ad8\u5ea6\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u80cc\u666f\u3092\u8a73\u3057\u304f\u8abf\u3079\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n

    GPT-3.5 Turbo \u3092\u5fae\u8abf\u6574\u3059\u308b\u3068\u3001\u3044\u304f\u3064\u304b\u306e\u5229\u70b9\u304c\u5f97\u3089\u308c\u307e\u3059\u3002\u307e\u305a\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5411\u4e0a\u3057\u3001\u7279\u5b9a\u306e\u30b7\u30ca\u30ea\u30aa\u3067 GPT-4 \u3092\u8d85\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001GPT-4 \u306e\u30ea\u30ea\u30fc\u30b9\u3092\u5f85\u305f\u305a\u306b\u3001\u5fae\u8abf\u6574\u3059\u308b\u3053\u3068\u3067\u9855\u8457\u306a\u7d50\u679c\u3092\u9054\u6210\u3067\u304d\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n

    \u3055\u3089\u306b\u3001\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u306f\u7c21\u5358\u3067\u30011 \u56de\u306e API \u547c\u3073\u51fa\u3057\u3060\u3051\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30b7\u30f3\u30d7\u30eb\u3055\u306b\u3088\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306b\u3068\u3063\u3066\u30a2\u30af\u30bb\u30b9\u3057\u3084\u3059\u304f\u52b9\u7387\u7684\u306b\u306a\u308a\u307e\u3059\u3002\u5fae\u8abf\u6574\u4e2d\u306b\u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a66\u3057\u3066\u307f\u308b\u3053\u3068\u3067\u3001\u65b0\u3057\u3044\u53ef\u80fd\u6027\u3092\u767a\u898b\u3057\u3001\u7279\u5b9a\u306e\u30cb\u30fc\u30ba\u306b\u5408\u308f\u305b\u3066\u30e2\u30c7\u30eb\u3092\u8abf\u6574\u3067\u304d\u307e\u3059\u3002<\/p>\n

    \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210<\/h2>\n

    \u3053\u3053\u3067\u3001\u524d\u306b\u8aac\u660e\u3057\u305f\u6a5f\u80fd\u3068\u5229\u70b9\u306e\u7406\u89e3\u3092\u57fa\u306b\u3001GPT-3.5 Turbo \u3092\u5fae\u8abf\u6574\u3059\u308b\u305f\u3081\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u3092\u8a73\u3057\u304f\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n

    \u9ad8\u54c1\u8cea\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306b\u3001\u79c1\u305f\u3061\u306f\u9769\u65b0\u7684\u306a\u30c7\u30fc\u30bf\u53ce\u96c6\u6280\u8853\u3068\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 \u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u65b9\u6cd5\u3092\u63a1\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

      \n
    1. \u591a\u69d8\u306a\u4f1a\u8a71: \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3055\u307e\u3056\u307e\u306a\u30c8\u30d4\u30c3\u30af\u3001\u8ad6\u8abf\u3001\u8996\u70b9\u3092\u78ba\u5b9f\u306b\u30ab\u30d0\u30fc\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u591a\u69d8\u306a\u7bc4\u56f2\u306e\u4f1a\u8a71\u3092\u53ce\u96c6\u3059\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3057\u307e\u3059\u3002\u3053\u306e\u591a\u69d8\u6027\u306b\u3088\u308a\u3001\u72b6\u6cc1\u306b\u5fdc\u3058\u3066\u9069\u5207\u306a\u5fdc\u7b54\u3092\u751f\u6210\u3059\u308b\u30e2\u30c7\u30eb\u306e\u80fd\u529b\u304c\u5f37\u5316\u3055\u308c\u307e\u3059\u3002<\/li>\n
    2. Scale \u306e\u30c7\u30fc\u30bf \u30a8\u30f3\u30b8\u30f3: \u5f53\u793e\u306f\u3001\u696d\u754c\u30ea\u30fc\u30c0\u30fc\u306b\u3088\u3063\u3066\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b\u4fe1\u983c\u3067\u304d\u308b\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3042\u308b Scale \u306e\u30c7\u30fc\u30bf \u30a8\u30f3\u30b8\u30f3\u3092\u6d3b\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u4fe1\u983c\u3067\u304d\u308b\u9ad8\u54c1\u8cea\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002 Scale \u306e\u652f\u63f4\u306b\u3088\u308a\u3001\u54c1\u8cea\u3092\u640d\u306a\u3046\u3053\u3068\u306a\u304f\u5fae\u8abf\u6574\u7528\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u52b9\u7387\u7684\u306b\u6e96\u5099\u3067\u304d\u307e\u3059\u3002<\/li>\n
    3. \u30b3\u30b9\u30c8\u52b9\u7387\u306e\u9ad8\u3044\u64cd\u4f5c: Scale \u306f\u3001\u5fae\u8abf\u6574\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u6e96\u5099\u30d7\u30ed\u30bb\u30b9\u3092\u5408\u7406\u5316\u3059\u308b\u305f\u3081\u306e\u30b3\u30b9\u30c8\u52b9\u7387\u306e\u9ad8\u3044\u64cd\u4f5c\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30ea\u30bd\u30fc\u30b9\u3092\u6700\u9069\u5316\u3057\u3066\u52b9\u7387\u7684\u306b\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u3001\u30d7\u30ed\u30bb\u30b9\u5168\u4f53\u304c\u3088\u308a\u30a2\u30af\u30bb\u30b9\u3057\u3084\u3059\u304f\u306a\u308a\u3001\u81ea\u7531\u306b\u306a\u308a\u307e\u3059\u3002<\/li>\n<\/ol>\n

      \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30ea\u30bd\u30fc\u30b9\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30b3\u30fc\u30c9\u306e\u5b9f\u88c5<\/h2>\n

      \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u306b\u5bfe\u3059\u308b\u5f53\u793e\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u306f\u3001\u9ad8\u5ea6\u306a\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3068\u52b9\u7387\u7684\u306a\u904b\u7528\u3092\u6d3b\u7528\u3057\u3066 GPT-3.5 Turbo \u306e\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u3092\u6700\u9069\u5316\u3059\u308b\u3053\u3068\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u7ba1\u7406\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30bb\u30b9\u304c\u30b9\u30e0\u30fc\u30ba\u304b\u3064\u52b9\u7387\u7684\u306b\u5b9f\u884c\u3055\u308c\u308b\u3088\u3046\u306b\u3059\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002 API \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u5fae\u8abf\u6574\u30b8\u30e7\u30d6\u306b\u5fc5\u8981\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3092\u7c21\u5358\u306b\u4e88\u7d04\u3067\u304d\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u6700\u9069\u5316\u3082\u63d0\u4f9b\u3057\u307e\u3059\u3002\u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u3092\u5408\u7406\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u3088\u308a\u77ed\u3044\u6642\u9593\u3067\u3088\u308a\u826f\u3044\u7d50\u679c\u3092\u9054\u6210\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u3088\u308a\u660e\u78ba\u306b\u7406\u89e3\u3057\u3066\u3044\u305f\u3060\u304f\u305f\u3081\u306b\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u306e\u4e3b\u8981\u306a\u5074\u9762\u3092\u6982\u8aac\u3057\u305f\u8868\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n
      \u5074\u9762<\/th>\n\u8aac\u660e<\/th>\n\u5229\u70b9<\/th>\n<\/tr>\n<\/thead>\n
      \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30ea\u30bd\u30fc\u30b9\u306e\u4e88\u7d04<\/td>\n\u5fae\u8abf\u6574\u306b\u5fc5\u8981\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u3092\u7c21\u5358\u306b\u4e88\u7d04<\/td>\n\u30b9\u30e0\u30fc\u30ba\u3067\u52b9\u7387\u7684\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9<\/td>\n<\/tr>\n
      \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u305f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0<\/td>\n\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304a\u3088\u3073\u691c\u8a3c\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3088\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u30b5\u30dd\u30fc\u30c8<\/td>\n\u691c\u8a3c\u306b\u3088\u308b\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u5411\u4e0a<\/td>\n<\/tr>\n
      \u640d\u5931\u76e3\u8996<\/td>\n\u4e21\u65b9\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u640d\u5931\u6570\u3092\u8ffd\u8de1\u3059\u308b\u6a5f\u80fd<\/td>\n\u30e2\u30c7\u30eb\u306e\u6539\u5584\u306b\u95a2\u3059\u308b\u6d1e\u5bdf<\/td>\n<\/tr>\n
      \u30d5\u30a1\u30a4\u30eb\u306e\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9<\/td>\n\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 \u30d5\u30a1\u30a4\u30eb\u3092 OpenAI \u306e\u30d5\u30a1\u30a4\u30eb \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b<\/td>\n\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u3078\u306e\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u30a2\u30af\u30bb\u30b9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u7ba1\u7406\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u6700\u9069\u5316\u306b\u5bfe\u3059\u308b\u9769\u65b0\u7684\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u901a\u3058\u3066\u3001GPT-3.5 Turbo \u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3057\u3001\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u3092\u7fd2\u5f97\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n

      \u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9<\/h2>\n

      OpenAI API \u3092\u4f7f\u7528\u3057\u3066 1 \u56de\u306e API \u547c\u3073\u51fa\u3057\u3092\u884c\u3046\u3053\u3068\u3067\u3001GPT-3.5 Turbo \u306e\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u3092\u7c21\u5358\u306b\u958b\u59cb\u3067\u304d\u307e\u3059\u3002\u5fae\u8abf\u6574\u306b\u306f\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u5411\u4e0a\u3001\u7cbe\u5ea6\u306e\u5411\u4e0a\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f GPT-4 \u306e\u6a5f\u80fd\u3092\u8d85\u3048\u308b\u6a5f\u80fd\u306a\u3069\u3001\u591a\u304f\u306e\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u305d\u308c\u306b\u306f\u76f8\u5fdc\u306e\u8ab2\u984c\u3082\u4f34\u3044\u307e\u3059\u3002<\/p>\n

      GPT-3.5 Turbo \u3092\u5fae\u8abf\u6574\u3059\u308b\u969b\u306b\u8003\u616e\u3059\u3079\u304d 3 \u3064\u306e\u91cd\u8981\u306a\u5074\u9762\u3092\u6b21\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n

        \n
      1. \u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/strong>: \u6700\u9069\u306a\u5fae\u8abf\u6574\u7d50\u679c\u3092\u5f97\u308b\u306b\u306f\u3001\u591a\u69d8\u3067\u9ad8\u54c1\u8cea\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u3053\u308c\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u6e96\u5099\u306e\u305f\u3081\u306e\u30b3\u30b9\u30c8\u52b9\u7387\u306e\u9ad8\u3044\u64cd\u4f5c\u3092\u63d0\u4f9b\u3059\u308b Scale \u306e Data Engine \u306a\u3069\u306e\u30c4\u30fc\u30eb\u306e\u6d3b\u7528\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/li>\n
      2. \u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u63a2\u7d22<\/strong>: \u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a66\u3057\u3066\u307f\u308b\u3068\u3001\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u3055\u307e\u3056\u307e\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u7279\u5b9a\u306e\u4f7f\u7528\u4f8b\u306b\u6700\u9069\u306a\u69cb\u6210\u3092\u898b\u3064\u3051\u308b\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u8a2d\u5b9a\u3092\u691c\u8a0e\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/li>\n
      3. \u9032\u6357\u72b6\u6cc1\u306e\u76e3\u8996<\/strong>: \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b8\u30e7\u30d6\u306e\u9032\u884c\u72b6\u6cc1\u3092\u8ffd\u8de1\u3059\u308b\u3053\u3068\u306f\u3001\u5fae\u8abf\u6574\u306e\u6709\u52b9\u6027\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4e0d\u53ef\u6b20\u3067\u3059\u3002 OpenAI \u306f\u3001\u30e2\u30c7\u30eb\u306e\u9032\u884c\u72b6\u6cc1\u3092\u76e3\u8996\u3057\u3001\u9014\u4e2d\u3067\u5fc5\u8981\u306a\u8abf\u6574\u3092\u884c\u3046\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u5fae\u8abf\u6574 ID \u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n

        \u63a8\u8ad6\u3068\u8a55\u4fa1<\/h2>\n

        \u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u3092\u52b9\u679c\u7684\u306b\u8a55\u4fa1\u3057\u3001GPT-3.5 Turbo \u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u306b\u306f\u3001\u63a8\u8ad6\u3068\u8a55\u4fa1\u3092\u901a\u3058\u3066\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5b9a\u671f\u7684\u304b\u3064\u5305\u62ec\u7684\u306b\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/p>\n

        \u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u8abf\u3079\u308b\u3053\u3068\u3067\u3001\u9ad8\u54c1\u8cea\u306e\u5fdc\u7b54\u3092\u751f\u6210\u3059\u308b\u969b\u306e\u7cbe\u5ea6\u3068\u6709\u52b9\u6027\u3092\u5224\u65ad\u3067\u304d\u307e\u3059\u3002\u63a8\u8ad6\u3092\u901a\u3058\u3066\u3001\u5fae\u8abf\u6574\u3055\u308c\u305f\u30e2\u30c7\u30eb\u304c\u3055\u307e\u3056\u307e\u306a\u5165\u529b\u3092\u3069\u306e\u7a0b\u5ea6\u7406\u89e3\u3057\u3066\u5fdc\u7b54\u3059\u308b\u304b\u3092\u89b3\u5bdf\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u4e00\u8cab\u6027\u3068\u6587\u8108\u306b\u95a2\u9023\u3057\u305f\u51fa\u529b\u3092\u751f\u6210\u3059\u308b\u80fd\u529b\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u3055\u3089\u306b\u3001\u8a55\u4fa1\u306b\u3088\u308a\u3001\u640d\u5931\u3084\u7cbe\u5ea6\u306a\u3069\u306e\u4e8b\u524d\u5b9a\u7fa9\u3055\u308c\u305f\u30e1\u30c8\u30ea\u30af\u30b9\u306b\u5bfe\u3057\u3066\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u6e2c\u5b9a\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u63a8\u8ad6\u3068\u8a55\u4fa1\u3092\u5b9a\u671f\u7684\u306b\u5b9f\u65bd\u3059\u308b\u3053\u3068\u3067\u3001\u5fae\u8abf\u6574\u30c6\u30af\u30cb\u30c3\u30af\u3092\u78e8\u304d\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u7e70\u308a\u8fd4\u3057\u6539\u5584\u3057\u3001\u30e2\u30c7\u30eb\u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u3053\u306e\u53cd\u5fa9\u30d7\u30ed\u30bb\u30b9\u306f\u3001\u512a\u308c\u305f\u7d50\u679c\u3092\u4e00\u8cab\u3057\u3066\u63d0\u4f9b\u3059\u308b\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u3001\u671b\u307e\u3057\u3044\u7d50\u679c\u3092\u9054\u6210\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

        \u3088\u304f\u3042\u308b\u8cea\u554f<\/h2>\n

        Gpt-3.5 Turbo \u306e\u5fae\u8abf\u6574\u306e\u76ee\u7684\u306f\u4f55\u3067\u3059\u304b?<\/h3>\n

        GPT-3.5 Turbo \u3067\u306e\u5fae\u8abf\u6574\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u5229\u70b9\u3068\u30c6\u30af\u30cb\u30c3\u30af\u304c\u3042\u308a\u307e\u3059\u3002\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u307e\u305f\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u30d9\u30fc\u30b9 \u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u3001\u30d9\u30fc\u30b9 \u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f GPT-3.5 Turbo \u306e\u6f5c\u5728\u80fd\u529b\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u306e\u306b\u5f79\u7acb\u3061\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f GPT-4 \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u3082\u4e0a\u56de\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        Scale \u306e\u30c7\u30fc\u30bf \u30a8\u30f3\u30b8\u30f3\u306f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210\u306b\u3069\u306e\u3088\u3046\u306b\u5f79\u7acb\u3061\u307e\u3059\u304b?<\/h3>\n

        Scale \u306e\u30c7\u30fc\u30bf \u30a8\u30f3\u30b8\u30f3\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u9ad8\u54c1\u8cea\u306e\u30c7\u30fc\u30bf\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f5c\u6210\u306b\u9769\u547d\u3092\u3082\u305f\u3089\u3057\u307e\u3059\u3002\u305d\u306e\u5f37\u529b\u306a\u6a5f\u80fd\u306b\u3088\u308a\u3001Brex\u3001Chegg\u3001Accenture \u306a\u3069\u306e\u6709\u540d\u4f01\u696d\u306b\u3088\u3063\u3066\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

        \u5fae\u8abf\u6574\u306e\u305f\u3081\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u306b\u306f\u3069\u306e\u3088\u3046\u306a\u624b\u9806\u304c\u542b\u307e\u308c\u307e\u3059\u304b?<\/h3>\n

        \u5fae\u8abf\u6574\u624b\u9806\u306b\u306f\u3001GPT-3.5 Turbo \u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u307e\u305a\u3001\u5358\u4e00\u306e API \u547c\u3073\u51fa\u3057\u3092\u884c\u3044\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf \u30d5\u30a1\u30a4\u30eb ID\u3001\u691c\u8a3c\u30c7\u30fc\u30bf \u30d5\u30a1\u30a4\u30eb ID\u3001\u30e2\u30c7\u30eb\u540d\u3001\u304a\u3088\u3073\u51fa\u529b\u30e2\u30c7\u30eb\u540d\u306e\u30b5\u30d5\u30a3\u30c3\u30af\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n

        Fine-tune ID \u3092\u4f7f\u7528\u3057\u3066\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b8\u30e7\u30d6\u306e\u9032\u6357\u72b6\u6cc1\u3092\u8ffd\u8de1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a66\u3057\u3066\u307f\u308b\u3068\u3001\u3055\u307e\u3056\u307e\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n

        OpenAI \u306e\u5fae\u8abf\u6574 API \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u304c\u7c21\u5358\u306b\u306a\u308a\u3001GPT-3.5 Turbo \u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5b9f\u9a13\u3067\u304d\u307e\u3059\u304b?<\/h3>\n

        \u306f\u3044\u3001GPT-3.5 Turbo \u3092\u5fae\u8abf\u6574\u3059\u308b\u5834\u5408\u3001\u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u81ea\u7531\u306b\u63a2\u7d22\u3057\u3001\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3084\u69cb\u6210\u3092\u8a66\u3057\u3066\u3001\u671b\u307e\u3057\u3044\u7d50\u679c\u3092\u9054\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u5fae\u8abf\u6574\u306b\u3088\u308a Gpt-3.5 Turbo \u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u306f\u3069\u306e\u3088\u3046\u306b\u5411\u4e0a\u3057\u307e\u3059\u304b?<\/h3>\n

        \u5fae\u8abf\u6574\u306b\u3088\u308a\u3001\u8a00\u8a9e\u751f\u6210\u6a5f\u80fd\u304c\u6700\u9069\u5316\u3055\u308c\u3001GPT-3.5 Turbo \u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002\u5fae\u8abf\u6574\u30d7\u30ed\u30bb\u30b9\u4e2d\u306b\u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5b9f\u9a13\u3059\u308b\u3053\u3068\u3067\u3001\u30e2\u30c7\u30eb\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u52b9\u679c\u7684\u306b\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        OpenAI \u304c\u63d0\u4f9b\u3059\u308b\u5fae\u8abf\u6574 API \u306b\u3088\u308a\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u306e\u4e88\u7d04\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b3\u30fc\u30c9\u306e\u5b9f\u88c5\u304c\u7c21\u5358\u306b\u306a\u308a\u307e\u3059\u3002\u305f\u3063\u305f 1 \u56de\u306e API \u547c\u3073\u51fa\u3057\u3067\u3001\u5fae\u8abf\u6574 ID \u3092\u4f7f\u7528\u3057\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30b8\u30e7\u30d6\u306e\u9032\u884c\u72b6\u6cc1\u3092\u8ffd\u8de1\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u7d50\u679c\u30d5\u30a1\u30a4\u30eb\u306b\u306f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u30c6\u30b9\u30c8\u306e\u640d\u5931\u3068\u7cbe\u5ea6\u304c\u542b\u307e\u308c\u3066\u304a\u308a\u3001\u30d9\u30fc\u30b9\u306e GPT-3.5 \u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3057\u3066\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u304c\u5411\u4e0a\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\n

        \u7d50\u8ad6<\/h2>\n

        \u7d50\u8ad6\u3068\u3057\u3066\u3001GPT-3.5 Turbo \u306e\u30d1\u30ef\u30fc\u3092\u6d3b\u7528\u3057\u3001OpenAI \u306e\u5fae\u8abf\u6574\u6a5f\u80fd\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u79c1\u305f\u3061\u306f\u65b0\u305f\u306a\u53ef\u80fd\u6027\u306e\u9818\u57df\u3092\u89e3\u304d\u653e\u3061\u307e\u3057\u305f\u3002<\/p>\n

        Scale \u306e\u9ad8\u54c1\u8cea\u30c7\u30fc\u30bf\u3068\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30ea\u30bd\u30fc\u30b9\u306e\u4e88\u7d04\u3068\u30b3\u30fc\u30c9\u5b9f\u88c5\u306e\u5bb9\u6613\u3055\u306b\u3088\u308a\u3001GPT-3.5 Turbo \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u3001\u3053\u308c\u307e\u3067\u53ef\u80fd\u3060\u3068\u8003\u3048\u3089\u308c\u3066\u3044\u305f\u4ee5\u4e0a\u306b\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u3055\u307e\u3056\u307e\u306a\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a66\u3057\u3066\u7d50\u679c\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u3067\u3001\u5fae\u8abf\u6574\u306e\u6280\u8853\u3092\u771f\u306b\u7fd2\u5f97\u3057\u3001GPT-3.5 Turbo \u306e\u53ef\u80fd\u6027\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u672a\u6765\u306f\u3053\u308c\u307e\u3067\u4ee5\u4e0a\u306b\u660e\u308b\u3044\u3067\u3059\u3002<\/p>","protected":false},"excerpt":{"rendered":"

        Welcome to our article where we will guide you on how to unlock the full potential of GPT-3.5 Turbo using OpenAI’s API. With the power of fine-tuning, we can enhance GPT-3.5 beyond its limits, surpassing even GPT-4 in certain cases. We will take you through the process of creating a diverse training dataset, implementing the necessary code, and experimenting with different hyperparameters. Get ready to master the art of fine-tuning and liberate the true capabilities of GPT-3.5 Turbo with OpenAI! Key Takeaways GPT-3.5 Turbo fine-tuning APIs have been released by OpenAI to improve the performance of the model. Scale is OpenAI’s preferred enterprise fine-tuning partner and provides high-quality data for […]<\/p>","protected":false},"author":4,"featured_media":14184,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-14001","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2023\/10\/Chat-GPT-3.5-Turbo-120x120.jpg",120,120,true]},"post_excerpt_stackable":"

        Chat GPT 3.5 Turbo Welcome to our article where we will guide you on how to unlock the full potential of GPT-3.5 Turbo using OpenAI’s API. With the power of fine-tuning, we can enhance GPT-3.5 beyond its limits, surpassing even GPT-4 in certain cases. We will take you through the process of creating a diverse training dataset, implementing the necessary code, and experimenting with different hyperparameters. Get ready to master the art of fine-tuning and liberate the true capabilities of GPT-3.5 Turbo with OpenAI! Key Takeaways GPT-3.5 Turbo fine-tuning APIs have been released by OpenAI to improve the performance of…<\/p>\n","category_list":"Artificial intelligence<\/a>","author_info":{"name":"Drew Banks","url":"https:\/\/www.datalabelify.com\/ja\/author\/drewbanks\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/posts\/14001","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/comments?post=14001"}],"version-history":[{"count":2,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/posts\/14001\/revisions"}],"predecessor-version":[{"id":14198,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/posts\/14001\/revisions\/14198"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/media\/14184"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/media?parent=14001"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/categories?post=14001"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/ja\/wp-json\/wp\/v2\/tags?post=14001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}