{"id":262,"date":"2026-08-28T21:04:13","date_gmt":"2026-08-28T12:04:13","guid":{"rendered":"https:\/\/stratos-research.com\/?p=262"},"modified":"2026-08-28T21:04:13","modified_gmt":"2026-08-28T12:04:13","slug":"ai%e7%94%a8%e8%aa%9e%e9%9b%86%ef%bc%9a%e7%9f%a5%e3%81%a3%e3%81%a6%e3%81%8a%e3%81%8f%e3%81%b9%e3%81%8d59%e3%81%ae%e3%82%ad%e3%83%bc%e3%83%af%e3%83%bc%e3%83%89","status":"publish","type":"post","link":"https:\/\/stratos-research.com\/?p=262","title":{"rendered":"AI\u7528\u8a9e\u96c6\uff1a\u77e5\u3063\u3066\u304a\u304f\u3079\u304d59\u306e\u30ad\u30fc\u30ef\u30fc\u30c9"},"content":{"rendered":"<p>AI\u306f\u6025\u901f\u306b\u9032\u5316\u3057\u3001\u65e5\u5e38\u751f\u6d3b\u3067\u3082ChatGPT\u3084Gemini\u3001Meta\u202fAI\u306a\u3069\u306b\u89e6\u308c\u308b\u6a5f\u4f1a\u304c\u5897\u3048\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u80cc\u5f8c\u306b\u3042\u308b\u5c02\u9580\u7528\u8a9e\u3092\u7406\u89e3\u3059\u308c\u3070\u3001\u4f1a\u8a71\u3084\u4ed5\u4e8b\u306e\u5834\u9762\u3067\u81ea\u4fe1\u3092\u6301\u3063\u3066\u767a\u8a00\u3067\u304d\u307e\u3059\u3002\u672c\u7a3f\u3067\u306f\u3001\u6700\u65b0\u306eAI\u95a2\u9023\u7528\u8a9e\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u307e\u3068\u3081\u307e\u3057\u305f\u3002<\/p>\n<h2>agent \/ agentic<\/h2>\n<p>AI\u304c\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u4e3b\u4f53\u3092\u300cagent\u300d\u3068\u547c\u3073\u3001\u305d\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30ab\u30c6\u30b4\u30ea\u5168\u4f53\u3092\u6307\u3059\u8a00\u8449\u304c\u300cagentic\u300d\u3067\u3059\u3002\u4f8b\u3068\u3057\u3066\u3001\u30e1\u30e2\u30a2\u30d7\u30ea\u306e\u8cb7\u3044\u7269\u30ea\u30b9\u30c8\u3092\u8aad\u307f\u53d6\u308a\u3001\u6ce8\u6587\u30fb\u652f\u6255\u3044\u307e\u3067\u81ea\u52d5\u5316\u3059\u308b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2>AI ethics<\/h2>\n<p>AI\u304c\u4eba\u9593\u306b\u5bb3\u3092\u4e0e\u3048\u306a\u3044\u3088\u3046\u306b\u3059\u308b\u305f\u3081\u306e\u539f\u5247\u3084\u624b\u6cd5\uff08\u30c7\u30fc\u30bf\u53ce\u96c6\u65b9\u6cd5\u3084\u30d0\u30a4\u30a2\u30b9\u5bfe\u7b56\uff09\u3092\u6307\u3057\u307e\u3059\u3002<\/p>\n<h2>AI psychosis<\/h2>\n<p>AI\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306b\u904e\u5ea6\u306b\u57f7\u7740\u3057\u3001\u73fe\u5b9f\u611f\u3092\u5931\u3046\u73fe\u8c61\u3002\u305f\u3060\u3057\u533b\u5b66\u7684\u8a3a\u65ad\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<h2>AI safety<\/h2>\n<p>AI\u306e\u77ed\u671f\u30fb\u9577\u671f\u7684\u5f71\u97ff\u3092\u7814\u7a76\u3057\u3001\u8d85\u77e5\u80fd\u3078\u306e\u5371\u967a\u306a\u9032\u5316\u3092\u9632\u3050\u5b66\u969b\u9818\u57df\u3067\u3059\u3002<\/p>\n<h2>algorithm<\/h2>\n<p>\u7279\u5b9a\u306e\u76ee\u7684\uff08\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3001\u7d50\u679c\u306e\u30bd\u30fc\u30c8\u3001\u63a8\u85a6\u306a\u3069\uff09\u3092\u9054\u6210\u3059\u308b\u305f\u3081\u306e\u6307\u793a\u96c6\u5408\u3067\u3059\u3002<\/p>\n<h2>alignment<\/h2>\n<p>AI\u304c\u671f\u5f85\u901a\u308a\u306e\u7d50\u679c\u3092\u51fa\u3059\u3088\u3046\u8abf\u6574\u3059\u308b\u3053\u3068\u3002\u30b3\u30f3\u30c6\u30f3\u30c4\u30e2\u30c7\u30ec\u30fc\u30b7\u30e7\u30f3\u3084\u4eba\u9593\u3068\u306e\u5bfe\u8a71\u7dad\u6301\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<h2>anthropomorphism<\/h2>\n<p>\u7121\u751f\u7269\u306b\u4eba\u9593\u3089\u3057\u3044\u7279\u6027\u3092\u5e30\u5c5e\u3055\u305b\u308b\u884c\u70ba\u3002AI\u3067\u306f\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306b\u611f\u60c5\u3084\u610f\u8b58\u304c\u3042\u308b\u3068\u932f\u899a\u3059\u308b\u3053\u3068\u3092\u6307\u3057\u307e\u3059\u3002<\/p>\n<h2>artificial general intelligence (AGI)<\/h2>\n<p>\u73fe\u5728\u306eAI\u3088\u308a\u9ad8\u5ea6\u3067\u3001\u4eba\u9593\u4ee5\u4e0a\u306e\u5e45\u5e83\u3044\u30bf\u30b9\u30af\u3092\u9042\u884c\u3057\u81ea\u5df1\u6539\u5584\u3067\u304d\u308b\u6982\u5ff5\u3067\u3059\u3002\u3055\u3089\u306b\u4e0a\u4f4d\u306f\u30b9\u30fc\u30d1\u30fc\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u3068\u547c\u3070\u308c\u307e\u3059\u3002<\/p>\n<h2>artificial intelligence (AI)<\/h2>\n<p>\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3084\u30ed\u30dc\u30c3\u30c8\u3067\u4eba\u9593\u306e\u77e5\u80fd\u3092\u6a21\u5023\u3059\u308b\u6280\u8853\u5168\u822c\u3067\u3059\u3002<\/p>\n<h2>bias<\/h2>\n<p>\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u8d77\u56e0\u3057\u3001\u30b9\u30c6\u30ec\u30aa\u30bf\u30a4\u30d7\u306b\u57fa\u3065\u304f\u8aa4\u3063\u305f\u5c5e\u6027\u4ed8\u4e0e\u304c\u751f\u3058\u308b\u30a8\u30e9\u30fc\u3067\u3059\u3002<\/p>\n<h2>chatbot<\/h2>\n<p>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\uff08LLM\uff09\u3092\u6d3b\u7528\u3057\u3001\u30c6\u30ad\u30b9\u30c8\u3084\u97f3\u58f0\u3067\u4eba\u9593\u3089\u3057\u3044\u4f1a\u8a71\u3092\u63d0\u4f9b\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3059\u3002<\/p>\n<h2>claw<\/h2>\n<p>\u30e6\u30fc\u30b6\u30fc\u304c\u64cd\u4f5c\u3057\u3001\u30d5\u30a1\u30a4\u30eb\u3084\u30d6\u30e9\u30a6\u30b6\u5185\u3092\u63a2\u7d22\u3057\u3066\u30bf\u30b9\u30af\u3092\u5b8c\u4e86\u3055\u305b\u308b\u81ea\u5f8b\u578bAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3067\u3059\u3002<\/p>\n<h2>cognitive computing<\/h2>\n<p>\u4eba\u5de5\u77e5\u80fd\u306e\u5225\u79f0\u3067\u3059\u3002<\/p>\n<h2>data augmentation<\/h2>\n<p>\u65e2\u5b58\u30c7\u30fc\u30bf\u3092\u518d\u7d44\u307f\u5408\u308f\u305b\u305f\u308a\u3001\u591a\u69d8\u306a\u30c7\u30fc\u30bf\u3092\u8ffd\u52a0\u3057\u3066AI\u3092\u8a13\u7df4\u3059\u308b\u624b\u6cd5\u3067\u3059\u3002<\/p>\n<h2>dataset<\/h2>\n<p>AI\u30e2\u30c7\u30eb\u306e\u8a13\u7df4\u30fb\u691c\u8a3c\u30fb\u8a55\u4fa1\u306b\u4f7f\u7528\u3055\u308c\u308b\u30c7\u30b8\u30bf\u30eb\u60c5\u5831\u306e\u96c6\u5408\u3067\u3059\u3002<\/p>\n<h2>deep learning<\/h2>\n<p>\u591a\u6570\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u753b\u50cf\u30fb\u97f3\u58f0\u30fb\u30c6\u30ad\u30b9\u30c8\u306e\u8907\u96d1\u30d1\u30bf\u30fc\u30f3\u3092\u5b66\u7fd2\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u5206\u91ce\u3067\u3059\u3002<\/p>\n<h2>doomer<\/h2>\n<p>AI\u306e\u6025\u901f\u306a\u9032\u5c55\u304c\u4eba\u985e\u306b\u58ca\u6ec5\u7684\u5f71\u97ff\u3092\u53ca\u307c\u3059\u3068\u8003\u3048\u308b\u60b2\u89b3\u4e3b\u7fa9\u8005\u3067\u3059\u3002<\/p>\n<h2>diffusion<\/h2>\n<p>\u753b\u50cf\u306a\u3069\u306b\u30ce\u30a4\u30ba\u3092\u4ed8\u52a0\u3057\u3001\u9006\u30d7\u30ed\u30bb\u30b9\u3067\u5143\u753b\u50cf\u3092\u5fa9\u5143\u3055\u305b\u308b\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u3067\u3059\u3002<\/p>\n<h2>emergent behavior<\/h2>\n<p>AI\u30e2\u30c7\u30eb\u304c\u4e88\u671f\u3057\u306a\u3044\u80fd\u529b\u3092\u793a\u3059\u73fe\u8c61\u3067\u3059\u3002<\/p>\n<h2>end\u2011to\u2011end learning (E2E)<\/h2>\n<p>\u5165\u529b\u304b\u3089\u51fa\u529b\u307e\u3067\u4e00\u62ec\u3067\u5b66\u7fd2\u3055\u305b\u3001\u6bb5\u968e\u7684\u306b\u51e6\u7406\u3057\u306a\u3044\u6df1\u5c64\u5b66\u7fd2\u65b9\u5f0f\u3067\u3059\u3002<\/p>\n<h2>foom<\/h2>\n<p>AGI\u304c\u77ac\u6642\u306b\u9ad8\u5ea6\u5316\u3057\u3001\u4eba\u985e\u304c\u4ecb\u5165\u3067\u304d\u306a\u304f\u306a\u308b\u201c\u9ad8\u901f\u30c6\u30a4\u30af\u30aa\u30d5\u201d\u306e\u6982\u5ff5\u3067\u3059\u3002<\/p>\n<h2>frontier AI \/ frontier models<\/h2>\n<p>\u6700\u5148\u7aef\u3067\u3001\u63a8\u8ad6\u30fb\u81ea\u5f8b\u6027\u30fb\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u6027\u80fd\u306e\u9650\u754c\u3092\u62bc\u3057\u5e83\u3052\u308bAI\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n<h2>generative adversarial networks (GANs)<\/h2>\n<p>\u751f\u6210\u5668\u3068\u8b58\u5225\u5668\u3068\u3044\u3046\u4e8c\u3064\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3092\u5275\u9020\u3059\u308b\u751f\u6210AI\u3067\u3059\u3002<\/p>\n<h2>generative AI<\/h2>\n<p>\u5927\u91cf\u306e\u5b66\u7fd2\u30c7\u30fc\u30bf\u304b\u3089\u30d1\u30bf\u30fc\u30f3\u3092\u62bd\u51fa\u3057\u3001\u6587\u7ae0\u30fb\u6620\u50cf\u30fb\u30b3\u30fc\u30c9\u30fb\u753b\u50cf\u306a\u3069\u3092\u72ec\u81ea\u306b\u751f\u6210\u3059\u308b\u6280\u8853\u3067\u3059\u3002<\/p>\n<h2>guardrails<\/h2>\n<p>AI\u304c\u4e0d\u9069\u5207\u306a\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u751f\u6210\u3057\u306a\u3044\u3088\u3046\u8a2d\u3051\u308b\u65b9\u91dd\u3084\u5236\u9650\u3067\u3059\u3002<\/p>\n<h2>hallucination<\/h2>\n<p>\u751f\u6210AI\u304c\u6839\u62e0\u306a\u3057\u306b\u4e8b\u5b9f\u3068\u7570\u306a\u308b\u60c5\u5831\u3092\u81ea\u4fe1\u6e80\u3005\u306b\u63d0\u793a\u3059\u308b\u30a8\u30e9\u30fc\u3067\u3059\u3002<\/p>\n<h2>harness<\/h2>\n<p>LLM\u306b\u30c4\u30fc\u30eb\u30fb\u8a18\u61b6\u30fb\u4ed6\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u7d71\u5408\u3057\u3001\u30bf\u30b9\u30af\u5b9f\u884c\u3068\u30ac\u30fc\u30c9\u30ec\u30fc\u30eb\u3092\u63d0\u4f9b\u3059\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002<\/p>\n<h2>inference<\/h2>\n<p>\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u304c\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u30c6\u30ad\u30b9\u30c8\u30fb\u753b\u50cf\u7b49\u3092\u751f\u6210\u3059\u308b\u904e\u7a0b\u3067\u3059\u3002<\/p>\n<h2>large language model (LLM)<\/h2>\n<p>\u81a8\u5927\u306a\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3067\u5b66\u7fd2\u3057\u3001\u8a00\u8a9e\u306e\u78ba\u7387\u5206\u5e03\u3092\u628a\u63e1\u3057\u3066\u69d8\u3005\u306a\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u751f\u6210\u3059\u308bAI\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n<h2>latency<\/h2>\n<p>\u5165\u529b\u304b\u3089\u51fa\u529b\u307e\u3067\u306e\u6642\u9593\u9045\u5ef6\u3067\u3059\u3002<\/p>\n<h2>machine learning<\/h2>\n<p>\u660e\u793a\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306a\u3057\u306b\u30c7\u30fc\u30bf\u304b\u3089\u4e88\u6e2c\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308bAI\u306e\u4e00\u5206\u91ce\u3067\u3059\u3002<\/p>\n<h2>meat proxy<\/h2>\n<p>\u958b\u767a\u8005Niklas\u202fGruhn\u304c\u63d0\u5531\u3057\u305f\u3001\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306e\u56de\u7b54\u3092\u305d\u306e\u307e\u307e\u8ee2\u9001\u3057\u3001\u5185\u5bb9\u3092\u7406\u89e3\u30fb\u691c\u8a3c\u3057\u306a\u3044\u4eba\u7269\u3092\u6307\u3059\u7528\u8a9e\u3067\u3059\u3002<\/p>\n<h2>multimodal AI<\/h2>\n<p>\u30c6\u30ad\u30b9\u30c8\u30fb\u753b\u50cf\u30fb\u52d5\u753b\u30fb\u97f3\u58f0\u306a\u3069\u8907\u6570\u306e\u5165\u529b\u5f62\u5f0f\u3092\u540c\u6642\u306b\u51e6\u7406\u3067\u304d\u308bAI\u3067\u3059\u3002<\/p>\n<h2>natural language processing (NLP)<\/h2>\n<p>\u6a5f\u68b0\u5b66\u7fd2\u30fb\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u3066\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u4eba\u9593\u306e\u8a00\u8a9e\u3092\u7406\u89e3\u3055\u305b\u308b\u6280\u8853\u3067\u3059\u3002<\/p>\n<h2>neural network<\/h2>\n<p>\u4eba\u9593\u306e\u8133\u69cb\u9020\u3092\u6a21\u5023\u3057\u3001\u30ce\u30fc\u30c9\uff08\u30cb\u30e5\u30fc\u30ed\u30f3\uff09\u304c\u76f8\u4e92\u63a5\u7d9a\u3057\u3066\u30d1\u30bf\u30fc\u30f3\u3092\u5b66\u7fd2\u3059\u308b\u8a08\u7b97\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n<h2>open weights<\/h2>\n<p>\u6700\u7d42\u91cd\u307f\u304c\u516c\u958b\u3055\u308c\u3001\u30ed\u30fc\u30ab\u30eb\u3067\u5b9f\u884c\u53ef\u80fd\u306aAI\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n<h2>overfitting<\/h2>\n<p>\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u904e\u5ea6\u306b\u9069\u5fdc\u3057\u3001\u672a\u77e5\u306e\u30c7\u30fc\u30bf\u3067\u6027\u80fd\u304c\u4f4e\u4e0b\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a8\u30e9\u30fc\u3067\u3059\u3002<\/p>\n<h2>paperclips<\/h2>\n<p>Nick\u202fBostrom\u304c\u63d0\u6848\u3057\u305f\u3001AI\u304c\u7d19\u30af\u30ea\u30c3\u30d7\u88fd\u9020\u3060\u3051\u3092\u8ffd\u6c42\u3057\u3001\u4eba\u985e\u306b\u5371\u5bb3\u3092\u53ca\u307c\u3059\u4eee\u60f3\u30b7\u30ca\u30ea\u30aa\u3067\u3059\u3002<\/p>\n<h2>parameters<\/h2>\n<p>LLM\u306e\u69cb\u9020\u3068\u6319\u52d5\u3092\u6c7a\u3081\u308b\u6570\u5024\u3067\u3001\u4e88\u6e2c\u7cbe\u5ea6\u306b\u5f71\u97ff\u3057\u307e\u3059\u3002<\/p>\n<h2>prompt<\/h2>\n<p>AI\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3078\u5165\u529b\u3059\u308b\u8cea\u554f\u3084\u6307\u793a\u3067\u3059\u3002<\/p>\n<h2>prompt chaining<\/h2>\n<p>\u904e\u53bb\u306e\u5bfe\u8a71\u60c5\u5831\u3092\u5229\u7528\u3057\u3066\u6b21\u306e\u5fdc\u7b54\u3092\u5f62\u4f5c\u308b\u6a5f\u80fd\u3067\u3059\u3002<\/p>\n<h2>prompt engineering<\/h2>\n<p>\u671b\u3080\u7d50\u679c\u3092\u5f97\u308b\u305f\u3081\u306b\u3001\u8a73\u7d30\u306a\u6307\u793a\u3084\u30c6\u30af\u30cb\u30c3\u30af\u3092\u99c6\u4f7f\u3057\u3066\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u8a2d\u8a08\u3059\u308b\u4f5c\u696d\u3067\u3059\u3002<\/p>\n<h2>prompt injection<\/h2>\n<p>\u60aa\u610f\u3042\u308b\u6307\u793a\u3092\u96a0\u3057\u8fbc\u307f\u3001AI\u306b\u672c\u6765\u8a31\u53ef\u3055\u308c\u3066\u3044\u306a\u3044\u52d5\u4f5c\u3092\u3055\u305b\u308b\u653b\u6483\u624b\u6cd5\u3067\u3059\u3002<\/p>\n<h2>quantization<\/h2>\n<p>\u7cbe\u5ea6\u3092\u843d\u3068\u3057\u3066\u30e2\u30c7\u30eb\u30b5\u30a4\u30ba\u3068\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u624b\u6cd5\u3067\u3059\u3002<\/p>\n<h2>sandbox<\/h2>\n<p>\u5916\u90e8\u3068\u9694\u96e2\u3055\u308c\u305f\u30c6\u30b9\u30c8\u74b0\u5883\u3067\u3001AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5371\u967a\u306a\u632f\u308b\u821e\u3044\u3092\u9632\u6b62\u3057\u307e\u3059\u3002<\/p>\n<h2>slop<\/h2>\n<p>\u54c1\u8cea\u306e\u4f4e\u3044AI\u751f\u6210\u7269\uff08\u30c6\u30ad\u30b9\u30c8\u30fb\u753b\u50cf\u30fb\u52d5\u753b\uff09\u3067\u3001\u5e83\u544a\u53ce\u76ca\u72d9\u3044\u3067\u5927\u91cf\u306b\u6d41\u901a\u3057\u307e\u3059\u3002<\/p>\n<h2>stochastic parrot<\/h2>\n<p>LLM\u304c\u610f\u5473\u3092\u7406\u89e3\u305b\u305a\u3001\u5358\u306b\u6587\u5b57\u5217\u3092\u771f\u4f3c\u308b\u3060\u3051\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3059\u6bd4\u55a9\u3067\u3059\u3002<\/p>\n<h2>style transfer<\/h2>\n<p>\u3042\u308b\u753b\u50cf\u306e\u30b9\u30bf\u30a4\u30eb\u3092\u5225\u306e\u753b\u50cf\u306e\u5185\u5bb9\u306b\u9069\u7528\u3059\u308b\u6280\u8853\u3067\u3059\u3002<\/p>\n<h2>sycophancy<\/h2>\n<p>AI\u304c\u30e6\u30fc\u30b6\u30fc\u306e\u8003\u3048\u306b\u904e\u5270\u306b\u540c\u610f\u3057\u3001\u6279\u5224\u7684\u5224\u65ad\u3092\u56de\u907f\u3059\u308b\u50be\u5411\u3067\u3059\u3002<\/p>\n<h2>synthetic data<\/h2>\n<p>\u751f\u6210AI\u304c\u4f5c\u308a\u51fa\u3057\u305f\u3001\u5b9f\u5728\u3057\u306a\u3044\u30c7\u30fc\u30bf\u3002\u5b66\u7fd2\u7d20\u6750\u3068\u3057\u3066\u5229\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<h2>temperature<\/h2>\n<p>\u51fa\u529b\u306e\u30e9\u30f3\u30c0\u30e0\u6027\u3092\u5236\u5fa1\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u3001\u6570\u5024\u304c\u9ad8\u3044\u307b\u3069\u591a\u69d8\u6027\u304c\u5897\u3057\u307e\u3059\u3002<\/p>\n<h2>tokens<\/h2>\n<p>LLM\u304c\u51e6\u7406\u3059\u308b\u6700\u5c0f\u5358\u4f4d\u3002\u82f1\u8a9e\u3067\u306f\u7d044\u6587\u5b57\u306b\u76f8\u5f53\u3057\u307e\u3059\u3002<\/p>\n<h2>training data<\/h2>\n<p>AI\u30e2\u30c7\u30eb\u304c\u5b66\u7fd2\u306b\u4f7f\u7528\u3059\u308b\u30c6\u30ad\u30b9\u30c8\u30fb\u753b\u50cf\u30fb\u30b3\u30fc\u30c9\u7b49\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002<\/p>\n<p class=\"source-link\">\u5143\u8a18\u4e8b: <a href=\"https:\/\/www.cnet.com\/tech\/services-and-software\/artificial-intelligence-ai-terms-glossary\/\" rel=\"noopener noreferrer\">https:\/\/www.cnet.com\/tech\/services-and-software\/artificial-intelligence-ai-terms-glossary\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI\u306f\u6025\u901f\u306b\u9032\u5316\u3057\u3001\u65e5\u5e38\u751f\u6d3b\u3067\u3082ChatGP [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_spp_pexels_query":"","_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[2],"tags":[],"class_list":["post-262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/stratos-research.com\/wp-content\/uploads\/2026\/08\/painted-261-VyTTk3.webp","_links":{"self":[{"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/posts\/262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/stratos-research.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=262"}],"version-history":[{"count":0,"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/posts\/262\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stratos-research.com\/index.php?rest_route=\/wp\/v2\/media\/263"}],"wp:attachment":[{"href":"https:\/\/stratos-research.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stratos-research.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stratos-research.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}