{"id":2021,"date":"2019-08-26T12:56:18","date_gmt":"2019-08-26T17:56:18","guid":{"rendered":"http:\/\/skimai.com\/?p=2021"},"modified":"2024-05-20T07:38:40","modified_gmt":"2024-05-20T12:38:40","slug":"%e3%83%aa%e3%82%a2%e3%83%ab%e3%82%bf%e3%82%a4%e3%83%a0%e7%94%9f%e7%94%a3%e3%83%a2%e3%83%87%e3%83%ab","status":"publish","type":"post","link":"https:\/\/skimai.com\/ja\/real-time-production-models\/","title":{"rendered":"\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb - \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306e\u9055\u3044\u306f\uff1f"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u76ee\u6b21<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u30c8\u30b0\u30eb\u76ee\u6b21\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u30c8\u30b0\u30eb<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#Real-time_production_models_%E2%80%93_How_do_they_differ_from_benchmark_tests\" >\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb - \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306e\u9055\u3044\u306f\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#What_are_Real-Time_Production_Models_and_Benchmark_Tests\" >\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306f\uff1f<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#1_Data_Needs_%E2%80%93_What_Data_Is_Required_for_Real-Time_Production_Models\" >1.\u30c7\u30fc\u30bf\u306e\u5fc5\u8981\u6027 - \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306b\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u3068\u306f\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#2_Data_Tuning_%E2%80%93_How_is_Training_Data_Collected_for_Production_Models\" >2.\u30c7\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 - \u751f\u7523\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3069\u306e\u3088\u3046\u306b\u53ce\u96c6\u3055\u308c\u308b\u304b\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#3_Data_Imbalance_%E2%80%93_How_Can_the_Right_Training_Data_be_Selected_for_Real-Time_Production_Models\" >3.\u30c7\u30fc\u30bf\u306e\u4e0d\u5747\u8861 - \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306e\u305f\u3081\u306e\u9069\u5207\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3069\u306e\u3088\u3046\u306b\u9078\u629e\u3055\u308c\u308b\u304b\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#4_New_Vocabularies_%E2%80%93_How_is_Training_Data_Applied_Across_Different_Production_Models\" >4.\u65b0\u3057\u3044\u30dc\u30ad\u30e3\u30d6\u30e9\u30ea\u30fc - \u3055\u307e\u3056\u307e\u306a\u751f\u7523\u30e2\u30c7\u30eb\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u3069\u306e\u3088\u3046\u306b\u9069\u7528\u3059\u308b\u304b\uff1f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/skimai.com\/ja\/real-time-production-models\/#5_Time_Latency_%E2%80%93_How_Long_Do_Production_Models_Take_to_Run\" >5.\u30bf\u30a4\u30e0\u30ec\u30a4\u30c6\u30f3\u30b7\u30fc - \u751f\u7523\u30e2\u30c7\u30eb\u306e\u5b9f\u884c\u6642\u9593<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Real-time_production_models_%E2%80%93_How_do_they_differ_from_benchmark_tests\"><\/span>\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb - \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306e\u9055\u3044\u306f\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<pre><code>        <h1><span class=\"ez-toc-section\" id=\"What_are_Real-Time_Production_Models_and_Benchmark_Tests\"><\/span>\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306f\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h1>      \n    \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u751f\u7523\u4e2d\u306b\u53ce\u96c6\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001\u73fe\u5728\u306e\u751f\u7523\u80fd\u529b\u3092\u5206\u6790\u3057\u3001\u5c06\u6765\u306e\u751f\u7523\u91cf\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3059\u308b\u30e2\u30c7\u30eb\u3067\u3042\u308b\u3002\u3053\u308c\u306f\u3001\u751f\u7523\u3092\u6700\u9069\u5316\u3057\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u300c\u30d7\u30ec\u30ea\u30ea\u30fc\u30b9\u300d\u8a55\u4fa1\u3059\u308b\u3053\u3068\u3092\u610f\u56f3\u3057\u305f\u30e2\u30c7\u30eb\u3067\u3042\u308a\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u4e88\u6e2c\u30c4\u30fc\u30eb\u3067\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u3002\u751f\u7523\u30e2\u30c7\u30eb\u306b\u306f\u3055\u307e\u3056\u307e\u306a\u5f62\u614b\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u751f\u7523\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u624b\u6cd5\u306e1\u3064\u3068\u3057\u3066\u4eba\u6c17\u304c\u9ad8\u307e\u3063\u3066\u3044\u308b\u306e\u304c\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u904e\u53bb\u306e\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3057\u3001\u904e\u53bb\u306e\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u3093\u3060\u6559\u8a13\u306b\u7167\u3089\u3057\u3066\u73fe\u5728\u306e\u751f\u7523\u72b6\u6cc1\u306b\u3064\u3044\u3066\u8a55\u4fa1\u3068\u4e88\u6e2c\u3092\u884c\u3046\u3053\u3068\u306b\u3088\u308a\u3001\u751f\u7523\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u00a0<\/code><\/pre>\n<p>\u00a0<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u751f\u7523\u30e2\u30c7\u30eb\u306e\u4f8b\u3068\u3057\u3066\u3001\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u306e\u305f\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3064\u3044\u3066\u8aac\u660e\u3059\u308b\u3002\u3053\u306e\u7a2e\u306e\u6a5f\u68b0\u5b66\u7fd2\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u5f62\u3092\u3068\u308b\uff1a<\/p>\n<ul>\n<li>\u5236\u4f5c\u30d7\u30ed\u30bb\u30b9\uff1a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3001\u3064\u307e\u308a\u8a18\u4e8b\u306e\u5206\u6790\u3002<\/li>\n<li>\u751f\u7523\u7269\uff0f\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\uff1a\u6700\u3082\u91cd\u8981\u306a\u3082\u306e\u3092\u7c21\u6f54\u306b\u307e\u3068\u3081\u305f\u3082\u306e\u3002<br \/>\u8a18\u4e8b\u4e2d\u306e\u91cd\u8981\u306a\u4e8b\u5b9f<\/li>\n<li>\u751f\u7523\u30e2\u30c7\u30eb\uff1a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u9069\u7528\u3057\u305f\u3002<br \/>\u306e\u8a18\u4e8b\u3092\u53c2\u7167\u3055\u308c\u305f\u3044\u3002<\/li>\n<\/ul>\n<p>\u3053\u306e\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u904e\u53bb\u306e\u8a18\u4e8b\u304b\u3089\u95a2\u9023\u60c5\u5831\u3092\u5b66\u7fd2\u3057\u3001\u3053\u306e\u5b66\u7fd2\u3057\u305f\u60c5\u5831\u3092\u65b0\u3057\u3044\u8a18\u4e8b\u306e\u8981\u7d04\u306b\u9069\u7528\u3059\u308b\u3002\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u751f\u7523\u30e2\u30c7\u30eb\u3068\u306f\u7570\u306a\u308a\u3001\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306f\u751f\u7523\u306e\u6700\u7d42\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3092\u9061\u53ca\u7684\u306b\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u3002\u751f\u7523\u5de5\u7a0b\u3068\u6700\u7d42\u88fd\u54c1\u306e\u4e21\u65b9\u306e\u30c7\u30fc\u30bf\u304c\u53ce\u96c6\u3055\u308c\u3001\u88fd\u54c1\u306e\u54c1\u8cea\u3068\u6027\u80fd\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u306b\u3001\u3053\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u6a19\u6e96\u7684\u306a\u4e00\u9023\u306e\u30c6\u30b9\u30c8\u304c\u5b9f\u884c\u3055\u308c\u308b\u3002\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306f\u3001\u4ed6\u793e\u306e\u985e\u4f3c\u88fd\u54c1\u3092 \"\u6253\u3061\u8ca0\u304b\u3059 \"\u304b\u3001\u4ee5\u524d\u306e\u6027\u80fd\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092 \"\u4e0a\u56de\u308b \"\u3053\u3068\u3092\u76ee\u6a19\u3068\u3059\u308b\u7af6\u4e89\u30d9\u30fc\u30b9\u306e\u3082\u306e\u3067\u3001\"\u767a\u58f2\u5f8c \"\u306e\u6027\u80fd\u3092\u6e2c\u5b9a\u3059\u308b\u3002<\/p>\n<p>\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306b\u306f\u4ee5\u4e0b\u304c\u542b\u307e\u308c\u308b\uff1a<\/p>\n<ul>\n<li>\u751f\u7523\u671f\u9593\u4e2d\u3001\u3042\u3089\u304b\u3058\u3081\u6c7a\u3081\u3089\u308c\u305f\u30bf\u30a4\u30df\u30f3\u30b0\u3067\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3059\u308b\u3002<\/li>\n<li>\u7e70\u308a\u8fd4\u3057\u53ef\u80fd\u306a\u30c7\u30fc\u30bf\u306e\u53ce\u96c6 - \u3059\u3079\u3066\u306e\u751f\u7523\u3068\u88fd\u54c1\u306b\u3064\u3044\u3066\u540c\u3058\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3059\u308b\u3002<\/li>\n<li>\u3042\u3089\u304b\u3058\u3081\u5b9a\u7fa9\u3055\u308c\u3001\u6a19\u6e96\u5316\u3055\u308c\u305f\u4e00\u9023\u306e\u30c6\u30b9\u30c8\u3092\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u5b9f\u884c\u3059\u308b\u3002<\/li>\n<li>\u6700\u7d42\u88fd\u54c1\u3092\u63a1\u70b9\u3057\u3001\u4ed6\u306e\u88fd\u54c1\u3068\u6bd4\u8f03\u3059\u308b\u3002<\/li>\n<\/ul>\n<p>\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u306e\u5168\u4f53\u7684\u306a\u91cd\u8981\u306a\u9055\u3044\u306f\u3001\"\u81ea\u5206\u306e\u88fd\u54c1\u304c\u4ed6\u306e\u88fd\u54c1\u306b\u5bfe\u3057\u3066\u3069\u306e\u7a0b\u5ea6\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u793a\u3057\u305f\u304b \"\u3068 \"\u53ef\u80fd\u306a\u9650\u308a\u6700\u9ad8\u306e\u88fd\u54c1\u3092\u751f\u7523\u3059\u308b\u305f\u3081\u306b\u3001\u73fe\u5728\u306e\u751f\u7523\u3092\u3069\u306e\u3088\u3046\u306b\u6700\u9069\u5316\u3067\u304d\u308b\u304b \"\u3092\u554f\u3046\u3053\u3068\u306e\u9055\u3044\u3067\u3042\u308b\u3002        <\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Data_Needs_%E2%80%93_What_Data_Is_Required_for_Real-Time_Production_Models\"><\/span>1.\u30c7\u30fc\u30bf\u306e\u5fc5\u8981\u6027 - \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306b\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u3068\u306f\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    <p>\u3088\u304f\u958b\u767a\u3055\u308c\u3001\u8a13\u7df4\u3055\u308c\u305f\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u8c4a\u304b\u306a\u6069\u6075\u3092\u3082\u305f\u3089\u3059\u3002\u958b\u767a\u4e0d\u5341\u5206\u306a\u30e2\u30c7\u30eb\u306f\u3001\u8aa4\u89e3\u3092\u62db\u304d\u3084\u3059\u3044\u3001\u504f\u3063\u305f\u3001\u3042\u308b\u3044\u306f\u30ca\u30f3\u30bb\u30f3\u30b9\u306a\u7d50\u679c\u3092\u751f\u307f\u51fa\u3059\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30eb\u306e\u54c1\u8cea\u3092\u6c7a\u5b9a\u3059\u308b\u8981\u56e0\u306f\u3001\u305d\u308c\u3092\u8a13\u7df4\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u54c1\u8cea\u3067\u3042\u308b\u3002\u3069\u306e\u3088\u3046\u306a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u3067\u3082\u3001\u5e38\u306b\u554f\u984c\u3068\u306a\u308b\u306e\u306f\u3001\u30e2\u30c7\u30eb\u3092\u9069\u5207\u306b\u5b66\u7fd2\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u4f55\u304c\u3001\u3069\u308c\u3060\u3051\u306e\u30c7\u30fc\u30bf\u3092\u5fc5\u8981\u3068\u3059\u308b\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\u3002<br \/><br \/><\/code><\/pre>\n<p>\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u306b\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5206\u3051\u3089\u308c\u308b\uff1a<\/p>\n<ul>\n<li>\u4f8b\u3048\u3070\u3001\u5b66\u8853\u8ad6\u6587\u304b\u65b0\u805e\u304b\u30d6\u30ed\u30b0\u304b\uff1f<\/li>\n<li>\u3064\u307e\u308a\u3001\u8a18\u4e8b\u5185\u306e\u3069\u306e\u5358\u8a9e\u3001\u5358\u8a9e\u306e\u7d44\u307f\u5408\u308f\u305b\u3001\u5358\u8a9e\u306e\u5b9a\u7fa9\u304c\u6700\u3082\u95a2\u9023\u6027\u304c\u3042\u308b\u306e\u304b\uff1f<\/li>\n<li>\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u4f7f\u7528\u3059\u308b\u8a18\u4e8b\u306e\u6570\u306f\uff1f<\/li>\n<\/ul>\n<p>\u4e00\u822c\u7684\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u591a\u3051\u308c\u3070\u591a\u3044\u307b\u3069\u3088\u304f\u3001\u30c7\u30fc\u30bf\u306b\u306f\u3067\u304d\u308b\u3060\u3051\u591a\u304f\u306e\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002\u3055\u3089\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u73fe\u5728\u306e\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u306b\u30de\u30c3\u30c1\u3057\u3066\u3044\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002\u3064\u307e\u308a\u3001\u5206\u6790\u3059\u308b\u30c6\u30ad\u30b9\u30c8\u304c\u79d1\u5b66\u7684\u306a\u30d6\u30ed\u30b0\u8a18\u4e8b\u3067\u3042\u308b\u5834\u5408\u3001\u751f\u7523\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306b\u306f\u3001\u79d1\u5b66\u7684\u306a\u8a18\u4e8b\u3068\u95a2\u9023\u3059\u308b\u30d6\u30ed\u30b0\u8a18\u4e8b\u306e\u4e21\u65b9\u3092\u542b\u3081\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u5206\u5e03\u304c\u5206\u6790\u5bfe\u8c61\u306e\u30c6\u30ad\u30b9\u30c8\u306e\u4e3b\u984c\u306b\u8fd1\u3051\u308c\u3070\u8fd1\u3044\u307b\u3069\u3001\u8981\u7d04\u60c5\u5831\u306f\u3088\u308a\u826f\u304f\u306a\u308b\u3002<\/p>\n<\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_Data_Tuning_%E2%80%93_How_is_Training_Data_Collected_for_Production_Models\"><\/span>2.\u30c7\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 - \u751f\u7523\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3069\u306e\u3088\u3046\u306b\u53ce\u96c6\u3055\u308c\u308b\u304b\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    \u30c7\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3068\u306f\u3001\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306b\u3069\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u3092\u3069\u306e\u3088\u3046\u306b\u5165\u529b\u3059\u308b\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\u3002<\/code><\/pre>\n<p>\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u3002\u3053\u308c\u306f\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306b\u3068\u3063\u3066\u306f\u7c21\u5358\u306a\u3053\u3068\u3067\u3059\u3002\u672c\u756a\u4e2d\u306b\u53ce\u96c6\u3059\u308b\u30c7\u30fc\u30bf\u3068\u3001\u305d\u308c\u3092\u53ce\u96c6\u3059\u308b\u983b\u5ea6\u3092\u6c7a\u5b9a\u3057\u307e\u3059\u3002\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306b\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u306f\u3001\u904e\u53bb\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306e\u76f8\u5bfe\u7cbe\u5ea6\u304b\u3089\u5c0e\u304d\u51fa\u3055\u308c\u307e\u3059\u3002<\/br><\/br><br \/>\n\u3053\u308c\u3068\u5bfe\u7167\u7684\u306a\u306e\u304c\u751f\u7523\u30e2\u30c7\u30ea\u30f3\u30b0\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u3063\u3066\u751f\u7523\u4e2d\u306e\u51fa\u529b\u3092\u4e88\u6e2c\u3059\u308b\u3002\u3053\u306e\u5834\u5408\u3001\u30c7\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3068\u306f\u3001\u751f\u7523\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u305f\u3081\u306b\u53ce\u96c6\u3059\u308b\u9069\u5207\u306a\u30c7\u30fc\u30bf\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u3053\u306e\u5834\u5408<br \/>\n\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u3001\u3053\u308c\u306b\u306f\u4ee5\u4e0b\u304c\u542b\u307e\u308c\u308b\uff1a<\/p>\n<ul>\n<li>\u5341\u5206\u306a\u6570\u306e\u95a2\u9023\u8a18\u4e8b\u3092\u9078\u3076\u3053\u3068\u3002<\/li>\n<li>\u6700\u3082\u95a2\u9023\u6027\u306e\u9ad8\u3044\u60c5\u5831\u3092\u4f1d\u3048\u308b\u5358\u8a9e\u3001\u5358\u8a9e\u306e\u30b0\u30eb\u30fc\u30d7\u3001\u5358\u8a9e\u306e\u5b9a\u7fa9\u3002<\/li>\n<li>\u8a18\u4e8b\u304b\u3089\u306e\u5b66\u7fd2 - \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7e70\u308a\u8fd4\u3057\u3001\u8f9e\u66f8\u306e\u3069\u306e\u90e8\u5206\u96c6\u5408\u304c\u60c5\u5831\u306e\u6700\u826f\u306e\u8981\u7d04\u3092\u6355\u3089\u3048\u308b\u304b\u3092\u767a\u898b\u3059\u308b\u3002<\/li>\n<li>\u3053\u306e\u8a9e\u5f59\u3092\u65b0\u3057\u3044\u8a18\u4e8b\u306b\u9069\u7528\u3059\u308b\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"3_Data_Imbalance_%E2%80%93_How_Can_the_Right_Training_Data_be_Selected_for_Real-Time_Production_Models\"><\/span>3.\u30c7\u30fc\u30bf\u306e\u4e0d\u5747\u8861 - \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306e\u305f\u3081\u306e\u9069\u5207\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3069\u306e\u3088\u3046\u306b\u9078\u629e\u3055\u308c\u308b\u304b\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    <p>\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8abf\u6574\u3059\u308b\u306e\u306f\u7c21\u5358\u306a\u3053\u3068\u3067\u306f\u306a\u3044\u3002\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u305f\u3081\u306b\u53ce\u96c6\u3055\u308c\u305f\u30c7\u30fc\u30bf\u306e\u3059\u3079\u3066\u304c\u6709\u7528\u3067\u3042\u308b\u3068\u306f\u9650\u3089\u306a\u3044\u3002\u30c7\u30fc\u30bf\u306f\u8981\u7d04\u3055\u308c\u308b\u30c6\u30ad\u30b9\u30c8\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308b\u304c\u3001\u95a2\u9023\u3059\u308b\u60c5\u5831\u306e\u9650\u3089\u308c\u305f\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u898b\u3064\u3051\u308b\u307b\u3069\u7279\u5b9a\u7684\u3067\u306f\u306a\u304f\u3001\u307e\u305f\u3001\u591a\u304f\u306e\u60c5\u5831\u3092\u898b\u3064\u3051\u308b\u307b\u3069\u66d6\u6627\u3067\u3082\u306a\u3044\u3002\u3055\u3089\u306b\u3001\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u306f\u5e38\u306b\u4e0d\u5747\u8861\u304c\u5b58\u5728\u3059\u308b\u3002\u3042\u308b\u7279\u5b9a\u306e\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u3092\u5bfe\u8c61\u3068\u3057\u305f\u5341\u5206\u306a\u898f\u6a21\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u306f\u307e\u305a\u4e0d\u53ef\u80fd\u3067\u3042\u308b\u305f\u3081\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306f\u3001\u8abf\u67fb\u5bfe\u8c61\u306e\u30c8\u30d4\u30c3\u30af\u306e\u5206\u5e03\u306b\u6700\u3082\u5408\u3046\u3088\u3046\u306b\u3001\u30c8\u30d4\u30c3\u30af\u9593\u3067\u30d0\u30e9\u30f3\u30b9\u3092\u53d6\u3089\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002<\/code><\/pre>\n<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u9078\u629e\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u843d\u3068\u3057\u7a74\u304c\u3042\u308b\uff1a<\/p>\n<ul>\n<li>\u5165\u529b\u8a18\u4e8b\u306e\u7bc4\u56f2\u304c\u5e83\u3059\u304e\u308b\u305f\u3081\u3001\u8981\u7d04\u304c\u9577\u3059\u304e\u305f\u308a\u66d6\u6627\u306b\u306a\u3063\u305f\u308a\u3059\u308b\u3002<\/li>\n<li>\u5165\u529b\u8a18\u4e8b\u306e\u7bc4\u56f2\u3092\u72ed\u3081\u3059\u304e\u308b\u3068\u3001\u91cd\u8981\u306a\u60c5\u5831\u304c\u6b20\u843d\u3057\u305f\u8981\u7d04\u306b\u306a\u3063\u3066\u3057\u307e\u3046\u3002<\/li>\n<li>\u8cea\u306e\u4f4e\u3044\u8a18\u4e8b\u3001\u3064\u307e\u308a\u30aa\u30d4\u30cb\u30aa\u30f3\u30d9\u30fc\u30b9\u306e\u60c5\u5831\u6e90\u3092\u9078\u3076\u3068\u3001\u504f\u3063\u305f\u8981\u7d04\u306b\u306a\u308b\u3002<\/li>\n<li>\u5165\u529b\u8a18\u4e8b\u306b\u9069\u7528\u3059\u308b\u8a9e\u5f59\u3092\u8aa4\u3063\u3066\u9078\u629e\u3057\u3001\u7121\u610f\u5473\u306a\u8981\u7d04\u3092\u5c0e\u304f\u3002<\/li>\n<\/ul>\n<p>\u9069\u5207\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u898b\u3064\u3051\u308b\u306e\u306f\u7c21\u5358\u306a\u3053\u3068\u3067\u306f\u306a\u304f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u91cf\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u95a2\u9023\u6027\u3001\u6700\u9069\u306a\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u306b\u304a\u3051\u308b\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u304c\u5fc5\u8981\u306b\u306a\u308b\u3002<\/p>\n<\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_New_Vocabularies_%E2%80%93_How_is_Training_Data_Applied_Across_Different_Production_Models\"><\/span>4.\u65b0\u3057\u3044\u30dc\u30ad\u30e3\u30d6\u30e9\u30ea\u30fc - \u3055\u307e\u3056\u307e\u306a\u751f\u7523\u30e2\u30c7\u30eb\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u3069\u306e\u3088\u3046\u306b\u9069\u7528\u3059\u308b\u304b\uff1f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    <p>\u9069\u5207\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3092\u898b\u3064\u3051\u3001\u3053\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u3092\u4e0e\u3048\u3089\u308c\u305f\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u306b\u5408\u308f\u305b\u3066\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3053\u3068\u306f\u3001\u9ad8\u4fa1\u3067\u6642\u9593\u306e\u304b\u304b\u308b\u4f5c\u696d\u3068\u306a\u308a\u307e\u3059\u3002\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30c8\u306e\u958b\u767a\u306b\u95a2\u9023\u3059\u308b\u30b3\u30b9\u30c8\u306f\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u9593\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u62e1\u5f35\u3057\u305f\u3044\u3068\u3044\u3046\u9858\u671b\u3092\u751f\u3080\u3002\u7406\u60f3\u7684\u306b\u306f\u30011\u3064\u306e\u8a18\u4e8b\u30bb\u30c3\u30c8\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u751f\u7523\u30e2\u30c7\u30eb\u3092\u3001\u4ed6\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u62e1\u5f35\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u76ee\u6a19\u306f\u3001\u8907\u6570\u306e\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u306e\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u306b\u9069\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3001\u6574\u7406\u3057\u3001\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3092\u4e0e\u3048\u308b\u3053\u3068\u3067\u3042\u308b\u3002<\/code><\/pre>\n<p><\/p>\n<p>\u3057\u304b\u3057\u3001\u65b0\u3057\u3044\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30eb\u306f\u53e4\u3044\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30eb\u306e\u6587\u8108\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u3044\u3002\u53e4\u3044\u30e2\u30c7\u30eb\u304c\u5b66\u7fd2\u3057\u3066\u3044\u306a\u3044\u8a9e\u5f59\u5185\u306e\u65b0\u3057\u3044\u5358\u8a9e\u306f\u3001\u305d\u308c\u305e\u308c\u7cbe\u5ea6\u306e\u4f4e\u4e0b\u3092\u5f15\u304d\u8d77\u3053\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u306f\u3001\u518d\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3001\u3064\u307e\u308a\u65b0\u3057\u3044\u8a9e\u5f59\u3092\u4e0e\u3048\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002\u3057\u304b\u3057\u3001\u53e4\u3044\u751f\u7523\u30e2\u30c7\u30eb\u304c\u65b0\u3057\u3044\u30c9\u30e1\u30a4\u30f3\u306b\u307e\u3063\u305f\u304f\u9069\u7528\u3067\u304d\u306a\u3044\u3068\u3044\u3046\u308f\u3051\u3067\u306f\u306a\u3044\u3002\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u9593\u306e\u7cbe\u5ea6\u306e\u4f4e\u4e0b\u3092\u8efd\u6e1b\u3059\u308b\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u3044\u304f\u3064\u304b\u306e\u6226\u7565\u304c\u5b58\u5728\u3059\u308b\uff1a<\/p>\n<ul>\n<li>\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u8a9e\u5f59\u3092\u3001\u7279\u5b9a\u306e\u6587\u5b57\u306e\u7d44\u307f\u5408\u308f\u305b\u3084\u983b\u5ea6\u306e\u9ad8\u3044\u5358\u8a9e\u306a\u3069\u306e\u30b5\u30d6\u30b0\u30eb\u30fc\u30d7\u306b\u5206\u89e3\u3059\u308b\u3002<\/li>\n<li>\u30b3\u30fb\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\uff1a\u5404\u8a18\u4e8b\u306b\u3064\u3044\u30662\u3064\u306e\u7570\u306a\u308b\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3002<\/li>\n<li>Trimmed Loss Minimization\uff1a\u3069\u306e\u8a18\u4e8b\u304c\u5168\u4f53\u7684\u306a\u7cbe\u5ea6\u306e\u640d\u5931\u3092\u6e1b\u3089\u3059\u304b\u3092\u63a8\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u65b0\u3057\u3044\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u8a18\u4e8b\u306e\u30b5\u30d6\u30bb\u30c3\u30c8\u3092\u6c7a\u5b9a\u3059\u308b\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"5_Time_Latency_%E2%80%93_How_Long_Do_Production_Models_Take_to_Run\"><\/span>5.\u30bf\u30a4\u30e0\u30ec\u30a4\u30c6\u30f3\u30b7\u30fc - \u751f\u7523\u30e2\u30c7\u30eb\u306e\u5b9f\u884c\u6642\u9593<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<pre><code>    <p>\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u5229\u7528\u53ef\u80fd\u306a\u6700\u65b0\u306e\u751f\u7523\u30c7\u30fc\u30bf\u3092\u6d3b\u7528\u3059\u308b\u305f\u3081\u3001\u3057\u3070\u3057\u3070\u300c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u300d\u3068\u3044\u3046\u540d\u79f0\u3092\u6301\u3064\u304c\u3001\u5b9f\u969b\u306b\u306f\u591a\u304f\u306e\u6642\u9593\u30b9\u30b1\u30fc\u30eb\u3067\u5b9f\u884c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u4f8b\u3048\u3070\u3001\u3042\u308b\u751f\u7523\u30e2\u30c7\u30eb\u306f\u60c5\u5831\u306e\u50be\u5411\u3092\u5206\u6790\u3059\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u6570\u65e5\u5206\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u306b\u306a\u308b\u3002\u3057\u304b\u3057\u3001\u4e00\u5ea6\u5b9f\u884c\u3059\u308c\u3070\u3001\u3053\u306e\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30eb\u306f\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u305f\u3081\u306b\u6570\u5206\u3067\u5b9f\u884c\u3067\u304d\u308b\u3002<\/code><\/pre>\n<p>\u00a0<\/p>\n<p>\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u306e\u5f85\u3061\u6642\u9593\u306f\u3001\u30e2\u30c7\u30eb\u306b\u4f55\u3092\u671f\u5f85\u3059\u308b\u304b\u306b\u95a2\u4fc2\u3059\u308b\uff1a<\/p>\n<ul>\n<li>\u751f\u7523\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304b\u304b\u308b\u6642\u9593\uff0f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\u91cf\u306f\uff1f<\/li>\n<li>1\u6642\u9593\u3054\u3068\u30011\u65e5\u3054\u3068\u30011\u9031\u9593\u3054\u3068\u306a\u3069\u3001\u3069\u306e\u7a0b\u5ea6\u306e\u983b\u5ea6\u3067\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u4e88\u6e2c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\uff1f<\/li>\n<li>\u77ed\u3044\u30d6\u30ed\u30b0\u3001\u96d1\u8a8c\u8a18\u4e8b\u3001\u672c\u306e\u7ae0\u306a\u3069\u3001\u3069\u306e\u7a0b\u5ea6\u306e\u30c7\u30fc\u30bf\u3092\u30e2\u30c7\u30eb\u306b\u3059\u308b\u306e\u304b\uff1f<\/li>\n<li>\u4eba\u9593\u3068\u306e\u5bfe\u8a71\u306f\u3069\u306e\u7a0b\u5ea6\u5fc5\u8981\u304b-\u30e2\u30c7\u30eb\u51fa\u529b\u306e\u6b63\u78ba\u6027\u3092\u30c1\u30a7\u30c3\u30af\u3057\u3001\u4eba\u9593\u306e\u30aa\u30da\u30ec\u30fc\u30bf\u30fc\u304c\u89e3\u91c8\u3059\u308b\u983b\u5ea6\u306f\uff1f<\/li>\n<\/ul>\n<p>\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u3001\u30d7\u30ed\u30a2\u30af\u30c6\u30a3\u30d6\u306b\u3001\u3064\u307e\u308a\u4e88\u6e2c\u7684\u306b\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u6e2c\u5b9a\u3059\u308b\u3002\u3088\u308a\u826f\u3044\u6700\u7d42\u88fd\u54c1\u3092\u4f5c\u308b\u65b9\u6cd5\u3092\u6c7a\u5b9a\u3059\u308b\u305f\u3081\u306b\u3001\u300c\u30ab\u30fc\u30d6\u3092\u5148\u53d6\u308a\u300d\u3057\u3066\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u8a55\u4fa1\u3059\u308b\u3002\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u306e\u4f8b\u3067\u306f\u3001\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u8a18\u4e8b\u306b\u542b\u307e\u308c\u308b\u3069\u306e\u60c5\u5831\u304c\u7279\u5b9a\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u6700\u3082\u95a2\u9023\u3059\u308b\u304b\u3092\u4e88\u6e2c\u3057\u307e\u3059\u3002\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\u304c\u5b9f\u884c\u3055\u308c\u3001\u88fd\u54c1\u304c\u751f\u6210\u3055\u308c\u308b\u3068\u3001\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3057\u3066\u6700\u7d42\u88fd\u54c1\u306e\u4fa1\u5024\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002\u751f\u7523\u30e2\u30c7\u30eb\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u5229\u70b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\uff1a<\/p>\n<ul>\n<li>\u751f\u7523\u6642\u306b\u751f\u7523\u65b9\u6cd5\u304c\u6700\u9069\u5316\u3055\u308c\u308b\u305f\u3081\u3001\u751f\u7523\u30b3\u30b9\u30c8\u304c\u524a\u6e1b\u3055\u308c\u308b\u3002<\/li>\n<li>\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30aa\u30da\u30ec\u30fc\u30bf\u306e\u76f8\u4e92\u4f5c\u7528\u304c\u6e1b\u5c11\u3059\u308b\u305f\u3081\u3001\u51fa\u529b\u306e\u504f\u308a\u304c\u6e1b\u5c11\u3059\u308b\u3002<\/li>\n<li>\u672c\u756a\u4e2d\u306b\u591a\u304f\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u304c\u84c4\u7a4d\u3055\u308c\u308b\u305f\u3081\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u7cbe\u5ea6\u304c\u5411\u4e0a\u3002<\/li>\n<li>\u751f\u7523\u306b\u5bfe\u3059\u308b\u5909\u66f4\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u654f\u6377\u6027\u304c\u5411\u4e0a\u3059\u308b\u3002<\/li>\n<\/ul>\n<p>\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u307e\u3059\u307e\u3059\u6d17\u7df4\u3055\u308c\u308b\u306b\u3064\u308c\u3066\u3001\u751f\u7523\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u751f\u7523\u306b\u3068\u3063\u3066\u6709\u76ca\u306a\u3060\u3051\u3067\u306a\u304f\u3001\u4e0d\u53ef\u6b20\u306a\u30c4\u30fc\u30eb\u306b\u306a\u308b\u3060\u308d\u3046\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u751f\u7523\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u65e9\u671f\u5c0e\u5165\u306f\u3001\u975e\u5e38\u306b\u9ad8\u3044\u5831\u916c\u304c\u5f97\u3089\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u306a\u304c\u3089\u30ea\u30b9\u30af\u304c\u4f4e\u304f\u3001\u751f\u7523\u30e2\u30c7\u30eb\u306f\u5c06\u6765\u306e\u751f\u7523\u65b9\u6cd5\u3092\u5f62\u6210\u3059\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3060\u308d\u3046\u3002<\/p>\n<p><a style=\"color: #999999; text-decoration: underline;\" href=\"http:\/\/skimai.com\/ja\/\">\u30b9\u30ad\u30e0AI\u306b\u3064\u3044\u3066\u3082\u3063\u3068\u77e5\u308b\u3002<\/a><\/p>\n<pre><code>    <p style=\"text-align: center;\">\u30de\u30fc\u30b1\u30c3\u30c8\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u306e\u305f\u3081\u306eAI\u5bfe\u5fdc\u30ea\u30b5\u30fc\u30c1\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\u3002<\/p>       \n        <a href=\"https:\/\/calendly.com\/gregg-skimai\/15min\/\">\n                    \u7121\u6599\u76f8\u8ac7\n                <\/a><\/code><\/pre>","protected":false},"excerpt":{"rendered":"<p>Real-time production models &#8211; How do they differ from benchmark tests? What are Real-Time Production Models and Benchmark Tests? Real-time production models are models that enable users to take data collected during production and analyze both current production capabilities and predict future production outputs. These are models meant to optimize production and assess performance \u201cpre-release\u201d, meaning they are predictive performance tools. While production models take on many forms, one method of production modeling that is rising in popularity is machine learning algorithms. Machine learning algorithms create production models by learning from past data and then making assessments and predictions on the current production status in light of the lessons learned [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":753,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[125,67,78],"tags":[],"class_list":["post-2021","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-ai-blog","category-ml-nlp","category-ai-project-management"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Real-time production models - How do they differ from benchmark tests?<\/title>\n<meta name=\"description\" content=\"Utlizing real-time production models vs benchmark tests should be carefully considered. From practice to application, explore when to apply each approach.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skimai.com\/ja\/\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Real-time production models - How do they differ from benchmark tests?\" \/>\n<meta property=\"og:description\" content=\"Utlizing real-time production models vs benchmark tests should be carefully considered. From practice to application, explore when to apply each approach.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skimai.com\/ja\/\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\/\" \/>\n<meta property=\"og:site_name\" content=\"Skim AI\" \/>\n<meta property=\"article:published_time\" content=\"2019-08-26T17:56:18+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-20T12:38:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"738\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Greggory Elias\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Greggory Elias\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"8\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/\"},\"author\":{\"name\":\"Greggory Elias\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\"},\"headline\":\"Real-time production models &#8211; How do they differ from benchmark tests?\",\"datePublished\":\"2019-08-26T17:56:18+00:00\",\"dateModified\":\"2024-05-20T12:38:40+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/\"},\"wordCount\":1096,\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg\",\"articleSection\":[\"Enterprise AI\",\"LLMs \/ NLP\",\"Project Management\"],\"inLanguage\":\"ja\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/\",\"url\":\"https:\/\/skimai.com\/real-time-production-models\/\",\"name\":\"Real-time production models - How do they differ from benchmark tests?\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/uk\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg\",\"datePublished\":\"2019-08-26T17:56:18+00:00\",\"dateModified\":\"2024-05-20T12:38:40+00:00\",\"description\":\"Utlizing real-time production models vs benchmark tests should be carefully considered. From practice to application, explore when to apply each approach.\",\"breadcrumb\":{\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/skimai.com\/real-time-production-models\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#primaryimage\",\"url\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg\",\"contentUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg\",\"width\":1000,\"height\":738,\"caption\":\"Blog Image\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/skimai.com\/real-time-production-models\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/skimai.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Real-time production models &#8211; How do they differ from benchmark tests?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/skimai.com\/uk\/#website\",\"url\":\"https:\/\/skimai.com\/uk\/\",\"name\":\"Skim AI\",\"description\":\"The AI Agent Workforce Platform\",\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/skimai.com\/uk\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/skimai.com\/uk\/#organization\",\"name\":\"Skim AI\",\"url\":\"https:\/\/skimai.com\/uk\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/\",\"url\":\"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png\",\"contentUrl\":\"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png\",\"width\":194,\"height\":58,\"caption\":\"Skim AI\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.linkedin.com\/company\/skim-ai\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\",\"name\":\"Greggory Elias\",\"url\":\"https:\/\/skimai.com\/ja\/author\/gregg\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb - \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306e\u9055\u3044\u306f\uff1f","description":"\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u672c\u756a\u30e2\u30c7\u30eb\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306e\u4f7f\u3044\u5206\u3051\u306f\u614e\u91cd\u306b\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002\u5b9f\u8df5\u304b\u3089\u5fdc\u7528\u307e\u3067\u3001\u305d\u308c\u305e\u308c\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u9069\u7528\u3059\u308b\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u63a2\u308b\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/skimai.com\/ja\/\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\/","og_locale":"ja_JP","og_type":"article","og_title":"Real-time production models - How do they differ from benchmark tests?","og_description":"Utlizing real-time production models vs benchmark tests should be carefully considered. From practice to application, explore when to apply each approach.","og_url":"https:\/\/skimai.com\/ja\/\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb\/","og_site_name":"Skim AI","article_published_time":"2019-08-26T17:56:18+00:00","article_modified_time":"2024-05-20T12:38:40+00:00","og_image":[{"width":1000,"height":738,"url":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg","type":"image\/jpeg"}],"author":"Greggory Elias","twitter_card":"summary_large_image","twitter_misc":{"\u57f7\u7b46\u8005":"Greggory Elias","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"8\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/skimai.com\/real-time-production-models\/#article","isPartOf":{"@id":"https:\/\/skimai.com\/real-time-production-models\/"},"author":{"name":"Greggory Elias","@id":"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6"},"headline":"Real-time production models &#8211; How do they differ from benchmark tests?","datePublished":"2019-08-26T17:56:18+00:00","dateModified":"2024-05-20T12:38:40+00:00","mainEntityOfPage":{"@id":"https:\/\/skimai.com\/real-time-production-models\/"},"wordCount":1096,"publisher":{"@id":"https:\/\/skimai.com\/uk\/#organization"},"image":{"@id":"https:\/\/skimai.com\/real-time-production-models\/#primaryimage"},"thumbnailUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg","articleSection":["Enterprise AI","LLMs \/ NLP","Project Management"],"inLanguage":"ja"},{"@type":"WebPage","@id":"https:\/\/skimai.com\/real-time-production-models\/","url":"https:\/\/skimai.com\/real-time-production-models\/","name":"\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u751f\u7523\u30e2\u30c7\u30eb - \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u3068\u306e\u9055\u3044\u306f\uff1f","isPartOf":{"@id":"https:\/\/skimai.com\/uk\/#website"},"primaryImageOfPage":{"@id":"https:\/\/skimai.com\/real-time-production-models\/#primaryimage"},"image":{"@id":"https:\/\/skimai.com\/real-time-production-models\/#primaryimage"},"thumbnailUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg","datePublished":"2019-08-26T17:56:18+00:00","dateModified":"2024-05-20T12:38:40+00:00","description":"\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u672c\u756a\u30e2\u30c7\u30eb\u3068\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c6\u30b9\u30c8\u306e\u4f7f\u3044\u5206\u3051\u306f\u614e\u91cd\u306b\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002\u5b9f\u8df5\u304b\u3089\u5fdc\u7528\u307e\u3067\u3001\u305d\u308c\u305e\u308c\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u9069\u7528\u3059\u308b\u30bf\u30a4\u30df\u30f3\u30b0\u3092\u63a2\u308b\u3002","breadcrumb":{"@id":"https:\/\/skimai.com\/real-time-production-models\/#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/skimai.com\/real-time-production-models\/"]}]},{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/skimai.com\/real-time-production-models\/#primaryimage","url":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg","contentUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-Image.jpg","width":1000,"height":738,"caption":"Blog Image"},{"@type":"BreadcrumbList","@id":"https:\/\/skimai.com\/real-time-production-models\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/skimai.com\/"},{"@type":"ListItem","position":2,"name":"Real-time production models &#8211; How do they differ from benchmark tests?"}]},{"@type":"WebSite","@id":"https:\/\/skimai.com\/uk\/#website","url":"https:\/\/skimai.com\/uk\/","name":"\u30b9\u30ad\u30e0AI","description":"AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u30fb\u30ef\u30fc\u30af\u30d5\u30a9\u30fc\u30b9\u30fb\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0","publisher":{"@id":"https:\/\/skimai.com\/uk\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/skimai.com\/uk\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/skimai.com\/uk\/#organization","name":"\u30b9\u30ad\u30e0AI","url":"https:\/\/skimai.com\/uk\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/","url":"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png","contentUrl":"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png","width":194,"height":58,"caption":"Skim AI"},"image":{"@id":"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.linkedin.com\/company\/skim-ai"]},{"@type":"Person","@id":"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6","name":"\u30b0\u30ec\u30b4\u30ea\u30fc\u30fb\u30a8\u30ea\u30a2\u30b9","url":"https:\/\/skimai.com\/ja\/author\/gregg\/"}]}},"_links":{"self":[{"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/posts\/2021","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/users\/1003"}],"replies":[{"embeddable":true,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/comments?post=2021"}],"version-history":[{"count":0,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/posts\/2021\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/media\/753"}],"wp:attachment":[{"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/media?parent=2021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/categories?post=2021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/skimai.com\/ja\/wp-json\/wp\/v2\/tags?post=2021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}