{"id":11474,"date":"2024-09-20T19:31:32","date_gmt":"2024-09-20T10:31:32","guid":{"rendered":"https:\/\/highreso.jp\/edgehub\/?p=11474"},"modified":"2024-09-22T18:10:38","modified_gmt":"2024-09-22T09:10:38","slug":"reflection70b","status":"publish","type":"post","link":"https:\/\/highreso.jp\/edgehub\/machinelearning\/reflection70b.html","title":{"rendered":"\u81ea\u5df1\u4fee\u6b63\u3092\u3059\u308bLLM\uff01\u300cReflection Llama-3.1 70B\u300d\u306e\u4f7f\u3044\u65b9"},"content":{"rendered":"\n<p><span class=\"swl-format-2\">Reflection Llama-3.1 70B\u306f\u3001\u81ea\u5df1\u4fee\u6b63\u6a5f\u80fd\u3092\u6301\u3064\u300cReflection-Tuning\u300d\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305fLLM\u3067\u3059\u3002<\/span><\/p>\n\n\n\n<p>\u63a8\u8ad6\u4e2d\u306b\u8aa4\u308a\u3092\u691c\u51fa\u3057\u4fee\u6b63\u3059\u308b\u3053\u3068\u3067\u3001\u9ad8\u3044\u7cbe\u5ea6\u3068\u751f\u6210\u904e\u7a0b\u306e\u900f\u660e\u6027\u3092\u5b9f\u73fe\u3057\u3001Claude 3.5 Sonnet\u3084GPT-4o\u306b\u5339\u6575\u3059\u308b\u6027\u80fd\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Reflection Llama-3.1 70B\u306e\u6027\u80fd\u304b\u3089\u5546\u7528\u5229\u7528\u3001\u4f7f\u3044\u65b9\u307e\u3067\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p class=\"is-style-balloon_box\">\u3056\u3063\u304f\u308a\u8a00\u3046\u3068<\/p>\n\n\n\n<div class=\"wp-block-group is-style-big_icon_good\"><div class=\"wp-block-group__inner-container\">\n<ul class=\"wp-block-list\">\n<li>\u63a8\u8ad6\u4e2d\u306b\u8aa4\u308a\u3092\u4fee\u6b63\u3059\u308b\u3053\u3068\u3067\u3001\u9ad8\u3044\u7cbe\u5ea6\u3068\u900f\u660e\u6027\u3092\u5b9f\u73fe<\/li>\n\n\n\n<li>Claude 3.5 Sonnet\u3084GPT-4o\u306b\u5339\u6575\u3059\u308b\u6027\u80fd<\/li>\n\n\n\n<li>\u6027\u80fd\u3001\u5546\u7528\u5229\u7528\u3001\u4f7f\u3044\u65b9\u307e\u3067\u89e3\u8aac<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u3068\u306f<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma11_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9987\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma11_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma11_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p>Reflection Llama-3.1 70B\u306f\u3001Llama 3.1 70B\u30e2\u30c7\u30eb\u3092\u30d9\u30fc\u30b9\u306b\u3001\u81ea\u5df1\u4fee\u6b63\u6a5f\u80fd\u3092\u6301\u3064\u300cReflection-Tuning\u300d\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305fLLM\u3067\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u63a8\u8ad6\u4e2d\u306b\u8aa4\u308a\u3092\u691c\u51fa\u3057\u4fee\u6b63\u3059\u308b\u3053\u3068\u3067\u3001\u3088\u308a\u9ad8\u3044\u7cbe\u5ea6\u3068\u751f\u6210\u904e\u7a0b\u306e\u900f\u660e\u6027\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<p>Claude 3.5 Sonnet\u3084GPT-4o\u306a\u3069\u306e\u30e2\u30c7\u30eb\u306b\u5339\u6575\u3059\u308b\u6027\u80fd\u3092\u6301\u3064\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30e2\u30c7\u30eb\u3067\u3059\u3002<\/p>\n\n\n\n<p class=\"is-style-balloon_box\">Llama3.1\u306b\u3064\u3044\u3066\u306f\u5225\u306e\u8a18\u4e8b\u3067\u8a73\u3057\u304f\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n<div class=\"swell-block-postLink\">\t\t\t<div class=\"p-blogCard -internal\" data-type=\"type1\" data-onclick=\"clickLink\">\n\t\t\t\t<div class=\"p-blogCard__inner\">\n\t\t\t\t\t<span class=\"p-blogCard__caption\">\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t<div class=\"p-blogCard__thumb c-postThumb\"><figure class=\"c-postThumb__figure\"><img decoding=\"async\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/llama31toha-eyecatch-300x158.jpg\" alt=\"\" class=\"c-postThumb__img u-obf-cover\" width=\"320\" height=\"180\"><\/figure><\/div>\t\t\t\t\t<div class=\"p-blogCard__body\">\n\t\t\t\t\t\t<a class=\"p-blogCard__title\" href=\"https:\/\/highreso.jp\/edgehub\/machinelearning\/llama31toha.html\">4050\u5104\u306e\u6700\u5f37LLM\u300cLlama 3.1\u300d\u3068\u306f\uff1f\u4f7f\u3044\u65b9\u30fb\u6027\u80fd\u30fb\u5546\u7528\u5229\u7528\u3092\u89e3\u8aac\uff01<\/a>\n\t\t\t\t\t\t<span class=\"p-blogCard__excerpt\">Llama 3.1\u306f\u3001Meta\u793e\u304c\u958b\u767a\u3057\u305f\u6700\u65b0\u306eLLM\u3067\u30014050\u5104\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6301\u3064\u975e\u5e38\u306b\u5927\u898f\u6a21\u306a\u30e2\u30c7\u30eb\u3067\u3059\u3002 Llama 3.1\u306f\u3001GPT-4o\u3084Claude 3.5 Sonnet\u306b\u5339\u6575\u3059\u308b\u6027\u80fd\u3092\u6301\u3064\u3068\u8a00\u308f&#8230;<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n<div class=\"p-blogParts post_content\" data-partsID=\"4485\"><p><div class=\"p-adBox -ranking -border-on\" data-id=\"4507\" data-ad=\"ranking\"><div class=\"p-adBox__title -rank1\">1\u6642\u959350\u5186\u304b\u3089\u4f7f\u3048\u308bGPU\u30af\u30e9\u30a6\u30c9\u300cGPUSOROBAN\u300d<\/div><div class=\"p-adBox__body\"><div class=\"p-adBox__img\"><div class=\"centerw250\"><a href=\"https:\/\/soroban.highreso.jp\/?utm_medium=edgehub&utm_source=edgehub&utm_campaign=highend-boxtop&adid=edgehub\" rel=\"nofollow\" referrerpolicy=\"no-referrer-when-downgrade\"><img decoding=\"async\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/gpusorobanlllm_banner.jpg\" alt=\"GPUSOROBAN\"><\/a><\/div><\/div><div class=\"p-adBox__details\"><div class=\"p-adBox__star c-reviewStars\"><i class=\"icon-star-full\"><\/i><i class=\"icon-star-full\"><\/i><i class=\"icon-star-full\"><\/i><i class=\"icon-star-full\"><\/i><i class=\"icon-star-full\"><\/i><\/div><div class=\"p-adBox__price u-thin u-fz-s\">GPU\u306e\u30b3\u30b9\u30c8\u3067\u304a\u60a9\u307f\u306e\u65b9\u306b\uff01<\/div><div class=\"p-adBox__desc\">\u751f\u6210AI\u30fbLLM\u5411\u3051\u306e\u9ad8\u901fGPU\u3092\u696d\u754c\u6700\u5b89\u7d1a\u306e1\u6642\u959350\u5186\u304b\u3089\u5229\u7528\u3067\u304d\u307e\u3059\u3002\r\n\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u74b0\u5883\u3055\u3048\u3042\u308c\u3070\u3001GPU\u30b5\u30fc\u30d0\u30fc\u3092\u3059\u3050\u306b\u4f7f\u3048\u307e\u3059\u3002\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u8d77\u52d5\u3057\u3066\u3044\u308b\u3068\u304d\u306e\u307f\u306e\u8ab2\u91d1\u3067\u3001\u30b3\u30b9\u30c8\u3092\u6700\u5c0f\u5316\u3067\u304d\u307e\u3059\u3002\r\n<\/div><\/div><\/div><div class=\"p-adBox__btns\"><a href=\"https:\/\/soroban.highreso.jp\/compute\/?utm_medium=edgehub&utm_source=edgehub&utm_campaign=boxtop&adid=edgehub\" class=\"p-adBox__btn -btn1\" target=\"_blank\" rel=\"noopener nofollow\">\u516c\u5f0f\u30b5\u30a4\u30c8\u3092\u898b\u308b<\/a><a href=\"https:\/\/soroban.highreso.jp\/download\/compute-catalog\/?utm_medium=edgehub&utm_source=edgehub&utm_campaign=boxtop&adid=edgehub\" class=\"p-adBox__btn -btn2\" target=\"_blank\" rel=\"noopener nofollow\">\u8cc7\u6599\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/a><\/div><\/div><\/p>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u306e\u30e2\u30c7\u30eb<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/iruka_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9114\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/iruka_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/iruka_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p>Reflection Llama3.1 70B\u306f\u3001700\u5104\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u30e2\u30c7\u30eb\u304c<a href=\"https:\/\/huggingface.co\/mattshumer\/Reflection-Llama-3.1-70B\">HuggingFace<\/a>\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Ollama\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308bGGUF\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-regular min_width10_\"><table><thead style=\"--thead-color--bg:var(--color_gray);--thead-color--txt:var(--swl-text_color--black)\"><tr><th>\u30e2\u30c7\u30ebID<\/th><th>\u30d1\u30e9\u30e1\u30fc\u30bf\u30b5\u30a4\u30ba<\/th><th>GPU\u30e1\u30e2\u30ea<\/th><th>\u516c\u958b<\/th><\/tr><\/thead><tbody><tr><td>mattshumer\/Reflection-Llama-3.1-70B<\/td><td>700\u5104\u30d1\u30e9\u30e1\u30fc\u30bf<\/td><td>42GB<\/td><td>HuggingFace<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"is-style-icon_info\">GPU\u30e1\u30e2\u30ea\u306f\u3001GGUF\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306e\u91cf\u5b50\u5316\u30e2\u30c7\u30eb\uff08Q4_0\uff09\u3067\u8a08\u6e2c\u3057\u305f\u969b\u306e\u6570\u5024\u3067\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u306e\u6027\u80fd<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/greenland_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9131\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/greenland_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/greenland_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p>Reflection Llama-3.1 70B\u306f\u3001\u4e3b\u8981\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306b\u304a\u3044\u3066\u3001<span class=\"swl-format-2\">GPT-4o\u3084Claude 3.5 Sonnet\u3068\u3044\u3063\u305f\u30e2\u30c7\u30eb\u306b\u5bfe\u3057\u3066\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee<\/span>\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"800\" height=\"189\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/reflection.jpg\" alt=\"\u30d9\u30f3\u30c1\u30de\u30fc\u30af\" class=\"wp-image-11500\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/reflection.jpg 800w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/reflection-300x71.jpg 300w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/09\/reflection-768x181.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\">\uff08\u51fa\u5178\uff1ahttps:\/\/huggingface.co\/mattshumer\/Reflection-Llama-3.1-70B\uff09<\/figcaption><\/figure>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306b\u3064\u3044\u3066<\/span><\/div><div class=\"cap_box_content\">\n<p><strong>GPQA<\/strong>\uff08\u4e00\u822c\u77e5\u8b58\u306b\u95a2\u3059\u308b\u30af\u30a8\u30ea\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reflection 70B\u306f55.3%\u306e\u6b63\u89e3\u7387\u3092\u9054\u6210\u3057\u3066\u304a\u308a\u3001\u300c0-shot Reflection\u300d\u3068\u3057\u3066\u4e8b\u524d\u60c5\u5831\u306a\u3057\u3067\u30e2\u30c7\u30eb\u306e\u63a8\u8ad6\u80fd\u529b\u3092\u6e2c\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002\u4ed6\u306e\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3059\u308b\u3068\u3001<span class=\"swl-format-2\">Claude 3.5 Sonnet\u304c59.4%\u3068\u308f\u305a\u304b\u306b\u9ad8\u3044\u7d50\u679c<\/span>\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u4ed6\u306e\u30e2\u30c7\u30eb\u308250%\u524d\u5f8c\u3067\u3042\u308a\u3001Reflection 70B\u3082\u5341\u5206\u306b\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>MMLU<\/strong>\uff08\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5b66\u7fd2\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u8907\u6570\u306e\u5206\u91ce\u306b\u307e\u305f\u304c\u308b\u554f\u984c\u306b\u5bfe\u3059\u308b\u7406\u89e3\u529b\u3092\u6e2c\u5b9a\u3059\u308b\u3053\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u3001Reflection 70B\u306f89.9%\u306e\u6b63\u89e3\u7387\u3092\u793a\u3057\u3066\u304a\u308a\u3001\u4ed6\u306e\u30e2\u30c7\u30eb\u306b\u6bd4\u3079\u3066\u3082\u975e\u5e38\u306b\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee\u3057\u3066\u3044\u307e\u3059\u3002<span class=\"swl-format-2\">Claude 3.5 Sonnet\u3084GPT-4o\u3068\u6bd4\u3079\u3066\u3001Reflection 70B\u304c\u308f\u305a\u304b\u306b\u512a\u308c\u305f\u7d50\u679c<\/span>\u3092\u51fa\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>HumanEval<\/strong>\uff08\u30b3\u30fc\u30c9\u751f\u6210\u30bf\u30b9\u30af\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u554f\u984c\u306b\u5bfe\u3059\u308b\u30e2\u30c7\u30eb\u306e\u89e3\u7b54\u7cbe\u5ea6\u3092\u6e2c\u5b9a\u3059\u308b\u3053\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u3001Reflection 70B\u306f91%\u306e\u30b9\u30b3\u30a2\u3092\u9054\u6210\u3057\u3066\u304a\u308a\u3001<span class=\"swl-format-2\">Claude 3.5 Sonnet\u306e92%\u3068\u307b\u307c\u540c\u7b49\u306e\u7d50\u679c<\/span>\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>MATH<\/strong>\uff08\u6570\u5b66\u306b\u95a2\u3059\u308b\u554f\u984c\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span class=\"swl-format-2\">Reflection 70B\u306f79.7%\u306e\u6b63\u89e3\u7387\u3092\u793a\u3057\u3066\u304a\u308a<\/span>\u3001\u4ed6\u306e\u30e2\u30c7\u30eb\u306b\u5bfe\u3057\u3066\u3082\u512a\u308c\u305f\u7d50\u679c\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>GSM8K<\/strong>\uff08\u6570\u5b66\u7684\u306a\u554f\u984c\u89e3\u6c7a\u80fd\u529b\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reflection 70B\u306f99.2%\u3068\u3044\u3046\u975e\u5e38\u306b\u9ad8\u3044\u30b9\u30b3\u30a2\u3092\u8a18\u9332\u3057\u3066\u304a\u308a\u3001<span class=\"swl-format-2\">\u4ed6\u306e\u30e2\u30c7\u30eb\u306b\u6bd4\u3079\u3066\u6700\u3082\u512a\u308c\u305f\u7d50\u679c<\/span>\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>IFEval<\/strong>\uff08\u4e00\u822c\u7684\u306a\u63a8\u8ad6\u529b\uff09:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reflection 70B\u306f90.13%\u3092\u793a\u3057\u3066\u304a\u308a\u3001<span class=\"swl-format-2\">\u4ed6\u306e\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3057\u3066\u3082\u975e\u5e38\u306b\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9<\/span>\u3092\u767a\u63ee\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u306e\u5546\u7528\u5229\u7528\u30fb\u30e9\u30a4\u30bb\u30f3\u30b9<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/train17_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9740\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/train17_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/train17_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p><span class=\"swl-format-2\">Reflection Llama-3.1 70B\u306f\u3001\u300cMETA LLAMA 3.1 COMMUNITY LICENSE\u300d\u306b\u3082\u3068\u3065\u3044\u3066\u3001\u7121\u6599\u3067\u5229\u7528\u3067\u304d\u3001\u5546\u7528\u5229\u7528\u3082\u53ef\u80fd\u3067\u3059\u3002<\/span><\/p>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>META LLAMA 3.1 COMMUNITY LICENSE\u306e\u8981\u70b9<\/span><\/div><div class=\"cap_box_content\">\n<p>\u5546\u7528\u5229\u7528\uff1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3084\u30b3\u30fc\u30c9\u3092\u5546\u7528\u5229\u7528\u3059\u308b\u3053\u3068\u304c\u8a31\u53ef\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u6539\u5909\uff1a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3084\u30b3\u30fc\u30c9\u3092\u81ea\u7531\u306b\u4fee\u6b63\u3057\u305f\u308a\u6539\u5909\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u914d\u5e03\uff1a\u4fee\u6b63\u3057\u305f\u308a\u5909\u66f4\u3057\u305f\u308a\u3057\u305f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u81ea\u7531\u306b\u914d\u5e03\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u8457\u4f5c\u6a29\u8868\u793a\uff1a\u518d\u914d\u5e03\u6642\u306b\u3001\u8457\u4f5c\u6a29\u306e\u8868\u793a\u3084\u5951\u7d04\u66f8\u30b3\u30d4\u30fc\u306e\u63d0\u4f9b\u306a\u3069\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u7279\u8a31\u5229\u7528\uff1a\u7279\u8a31\u5229\u7528\u306b\u95a2\u3059\u308b\u660e\u793a\u7684\u306a\u898f\u5b9a\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"is-style-icon_info\">\u5546\u7528\u5229\u7528\u306f\u3001\u300c\u6708\u9593\u30a2\u30af\u30c6\u30a3\u30d6\u30e6\u30fc\u30b6\u30fc\u304c7\u5104\u4eba\u4ee5\u4e0b\u3067\u3042\u308c\u3070\u7121\u511f\u3067\u5229\u7528\u3067\u304d\u308b\u300d\u6761\u4ef6\u3064\u304d\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u8a73\u7d30\u306f<a href=\"https:\/\/www.llama.com\/llama3_1\/license\/\">\u300cMETA LLAMA 3.1 COMMUNITY LICENSE\u300d<\/a>\u306e\u30da\u30fc\u30b8\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u306e\u5b9f\u884c\u74b0\u5883<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/door13_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9773\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/door13_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/door13_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u7528\u610f\u3057\u305f\u5b9f\u884c\u74b0\u5883\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n<div class=\"wp-block-group is-style-big_icon_good\"><div class=\"wp-block-group__inner-container\">\n<ul class=\"wp-block-list\">\n<li>GPU\uff1aNVIDIA A100 80GB<\/li>\n\n\n\n<li>GPU\u30e1\u30e2\u30ea\uff08VRAM\uff09\uff1a80GB<\/li>\n\n\n\n<li>OS \uff1aUbuntu 22.04<\/li>\n\n\n\n<li>Docker<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Docker\u3067\u74b0\u5883\u69cb\u7bc9<\/h3>\n\n\n\n<p><span class=\"swl-format-2\">Docker\u3092\u4f7f\u7528\u3057\u3066LangChain\u306e\u74b0\u5883\u69cb\u7bc9\u3092\u3057\u307e\u3059<\/span><\/p>\n\n\n\n<p>Docker\u306e\u4f7f\u3044\u65b9\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n<div class=\"swell-block-postLink\">\t\t\t<div class=\"p-blogCard -internal\" data-type=\"type1\" data-onclick=\"clickLink\">\n\t\t\t\t<div class=\"p-blogCard__inner\">\n\t\t\t\t\t<span class=\"p-blogCard__caption\">\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t<div class=\"p-blogCard__thumb c-postThumb\"><figure class=\"c-postThumb__figure\"><img decoding=\"async\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/ubuntudocker-eyecatch-300x158.jpg\" alt=\"\" class=\"c-postThumb__img u-obf-cover\" width=\"320\" height=\"180\"><\/figure><\/div>\t\t\t\t\t<div class=\"p-blogCard__body\">\n\t\t\t\t\t\t<a class=\"p-blogCard__title\" href=\"https:\/\/highreso.jp\/edgehub\/machinelearning\/ubuntudocker.html\">Ubuntu\u306bDocker\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff01GPU\u3092\u30b3\u30f3\u30c6\u30ca\u304b\u3089\u4f7f\u3046\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t<span class=\"p-blogCard__excerpt\">GPU\u306e\u74b0\u5883\u69cb\u7bc9\u3067\u306f\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u4e0d\u4e00\u81f4\u306b\u3088\u308b\u30a8\u30e9\u30fc\u304c\u983b\u767a\u3057\u307e\u3059\u3002 Docker\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u3053\u306e\u3088\u3046\u306a\u4f9d\u5b58\u95a2\u4fc2\u306e\u30a8\u30e9\u30fc\u3092\u56de\u907f\u3057\u3084\u3059\u304f\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u8a18\u4e8b\u3067&#8230;<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n<div class=\"swell-block-step\" data-num-style=\"circle\">\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">Dockerfile\u306e\u4f5c\u6210<\/div><div class=\"swell-block-step__body\">\n<p>Ubuntu\u306e\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u3067\u3001Dockerfile\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>mkdir reflection_70b\ncd reflection_70b\nnano Dockerfile<\/code><\/pre>\n\n\n\n<p>Dockerfile\u306b\u4ee5\u4e0b\u306e\u8a18\u8ff0\u3092\u8cbc\u308a\u4ed8\u3051\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code># \u30d9\u30fc\u30b9\u30a4\u30e1\u30fc\u30b8(CUDA)\u306e\u6307\u5b9a\nFROM nvidia\/cuda:12.1.0-cudnn8-devel-ubuntu22.04\n\n# \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN apt-get update &amp;&amp; apt-get install -y python3-pip python3-venv git nano curl\n\nRUN curl -fsSL https:\/\/ollama.com\/install.sh | sh\n\n# \u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u8a2d\u5b9a\nWORKDIR \/app\n\n# \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\nCOPY . \/app\n\n# Python\u4eee\u60f3\u74b0\u5883\u306e\u4f5c\u6210\nRUN python3 -m venv \/app\/.venv\n\n# \u4eee\u60f3\u74b0\u5883\u3092\u30a2\u30af\u30c6\u30a3\u30d9\u30fc\u30c8\u3059\u308b\u30b3\u30de\u30f3\u30c9\u3092.bashrc\u306b\u8ffd\u52a0\nRUN echo \"source \/app\/.venv\/bin\/activate\" &gt;&gt; \/root\/.bashrc\n\n# JupyterLab\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN \/app\/.venv\/bin\/pip install Jupyter jupyterlab\n\n# LangChain\u95a2\u9023\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\nRUN \/app\/.venv\/bin\/pip install ollama langchain-ollama langchain langsmith langchain-chroma faiss-gpu langchain-community langchain_huggingface langchain_core tiktoken\n\n# \u30b3\u30f3\u30c6\u30ca\u306e\u8d77\u52d5\u6642\u306bbash\u3092\u5b9f\u884c\nCMD &#091;\"\/bin\/bash\"]<\/code><\/pre>\n\n\n\n<p class=\"is-style-icon_info\">[Ctrl + S]\u30ad\u30fc\u3067\u5909\u66f4\u5185\u5bb9\u3092\u4fdd\u5b58\u3057\u3001[Ctrl + X]\u30ad\u30fc\u3067\u7de8\u96c6\u30e2\u30fc\u30c9\u304b\u3089\u629c\u3051\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30de\u30f3\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-2\">FROM nvidia\/cuda:12.1.0-cudnn8-devel-ubuntu22.04<\/span><\/p>\n\n\n\n<p>CUDA12.1\u306e\u30d9\u30fc\u30b9\u30a4\u30e1\u30fc\u30b8\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">RUN apt-get update &amp;&amp; apt-get install -y python3-pip python3-venv git nano curl<\/span><\/p>\n\n\n\n<p>\u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-1\"><span class=\"swl-format-2\">RUN curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/span><\/span><\/p>\n\n\n\n<p>Linux\u7248\u306eOllama\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002Python\u3067Ollama\u3092\u52d5\u304b\u3059\u969b\u306b\u3082Linux\u7248Ollama\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u306e\u3067\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">RUN \/app\/.venv\/bin\/pip install Jupyter jupyterlab<\/span><\/p>\n\n\n\n<p>JupyterLab\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">RUN \/app\/.venv\/bin\/pip install ollama langchain-ollama langchain langsmith langchain-chroma faiss-gpu langchain-community langchain_huggingface langchain_core tiktoken<\/span><\/p>\n\n\n\n<p>LangChain\u3068Ollama\u95a2\u9023\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>LLM\u306fOllama\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066\u52d5\u304b\u3057\u307e\u3059\u306e\u3067\u3001PyTorch\u3084Transformer\u306f\u5225\u9014\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u4e0d\u8981\u3067\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">docker-compose.yml\u30d5\u30a1\u30a4\u30eb\u306e\u4f5c\u6210<\/div><div class=\"swell-block-step__body\">\n<p>docker-compose.yml\u3067Docker\u30b3\u30f3\u30c6\u30ca\u306e\u8a2d\u5b9a\u3092\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>docker-compose.yml\u306eYAML\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u3066\u958b\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>nano docker-compose.yml<\/code><\/pre>\n\n\n\n<p>\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u30b3\u30d4\u30fc\u3057\u3066\u3001YAML\u30d5\u30a1\u30a4\u30eb\u306b\u8cbc\u308a\u4ed8\u3051\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>services:\n  reflection_70b:\n    build:\n      context: .\n      dockerfile: Dockerfile\n    image: reflection_70b\n    runtime: nvidia\n    container_name: reflection_70b\n    ports:\n      - \"8888:8888\"\n    volumes:\n      - .:\/app\/reflection_70b\n    deploy:\n      resources:\n        reservations:\n          devices:\n            - driver: nvidia\n              count: 1\n              capabilities: &#091;gpu]\n    command: &gt;\n      bash -c '\/usr\/local\/bin\/ollama serve &amp; \/app\/.venv\/bin\/jupyter lab --ip=\"*\" --port=8888 --NotebookApp.token=\"\" --NotebookApp.password=\"\" --no-browser --allow-root'<\/code><\/pre>\n\n\n\n<p class=\"is-style-icon_info\">[Ctrl + S]\u30ad\u30fc\u3067\u5909\u66f4\u5185\u5bb9\u3092\u4fdd\u5b58\u3057\u3001[Ctrl + X]\u30ad\u30fc\u3067\u7de8\u96c6\u30e2\u30fc\u30c9\u304b\u3089\u629c\u3051\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30de\u30f3\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-2\">bash -c &#8216;\/usr\/local\/bin\/ollama serve &amp; \/app\/.venv\/bin\/jupyter lab &#8211;ip=&#8221;*&#8221; &#8211;port=8888 &#8211;NotebookApp.token=&#8221;&#8221; &#8211;NotebookApp.password=&#8221;&#8221; &#8211;no-browser &#8211;allow-root&#8217;<\/span><\/p>\n\n\n\n<p><code>bash -c '\/usr\/local\/bin\/ollama serve<\/code><\/p>\n\n\n\n<p>Ollama Server\u3092\u8d77\u52d5\u3057\u3066\u3044\u307e\u3059\u3002Python\u306eOllama\u3092\u4f7f\u7528\u3059\u308b\u969b\u306b\u3001Ollama Server\u3092\u8d77\u52d5\u3057\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n\n\n\n\n<p><code>&amp; \/app\/.venv\/bin\/jupyter lab --ip=\"*\" --port=8888 --NotebookApp.token=\"\" --NotebookApp.password=\"\" --no-browser --allow-root'<\/code><\/p>\n\n\n\n<p>JupyterLab\u30928888\u756a\u30dd\u30fc\u30c8\u3067\u8d77\u52d5\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">Docker\u30b3\u30f3\u30c6\u30ca\u3092\u8d77\u52d5<\/div><div class=\"swell-block-step__body\">\n<p>Dockerfile\u304b\u3089\u30d3\u30eb\u30c9\u3057\u3066\u30b3\u30f3\u30c6\u30ca\u3092\u8d77\u52d5\u3057\u307e\u3059\u3002&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>docker compose up<\/code><\/pre>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p>Docker\u306e\u8d77\u52d5\u5f8c\u306b\u30d6\u30e9\u30a6\u30b6\u306e\u691c\u7d22\u7a93\u306b&#8221;localhost:8888&#8243;\u3092\u5165\u529b\u3059\u308b\u3068\u3001Jupyter Lab\u3092\u30d6\u30e9\u30a6\u30b6\u3067\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>localhost:8888<\/code><\/pre>\n<\/div><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u306e\u5b9f\u88c5<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/came4_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-9575\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/came4_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/came4_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<p><span class=\"swl-format-2\">Docker\u30b3\u30f3\u30c6\u30ca\u3067\u8d77\u52d5\u3057\u305fJupyter Lab\u4e0a\u3067Reflection Llama-3.1 70B\u306e\u5b9f\u88c5\u3092\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<div class=\"swell-block-step\" data-num-style=\"circle\">\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">\u74b0\u5883\u5909\u6570\u306e\u8a2d\u5b9a<\/div><div class=\"swell-block-step__body\">\n<p><span class=\"swl-format-2\">LangChain\u306b\u95a2\u3059\u308b\u74b0\u5883\u5909\u6570\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>import os\nfrom uuid import uuid4\n\nunique_id = uuid4().hex&#091;0:8]\n\nos.environ&#091;\"LANGCHAIN_TRACING_V2\"] = \"true\"\nos.environ&#091;\"LANGCHAIN_PROJECT\"] = f\"reflection - {unique_id}\"\nos.environ&#091;\"LANGCHAIN_ENDPOINT\"] = \"https:\/\/api.smith.langchain.com\"\nos.environ&#091;\"LANGCHAIN_API_KEY\"] = \"***************\"<\/code><\/pre>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-2\">unique_id = uuid4().hex[0:8]<\/span><\/p>\n\n\n\n<p>8\u6841\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u4e00\u610f\u306e\u8b58\u5225\u5b50<code>unique_id<\/code>\u3092\u751f\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">os.environ[&#8220;LANGCHAIN_TRACING_V2&#8221;] = &#8220;true&#8221;<\/span><\/p>\n\n\n\n<p>\u3053\u306e\u8a2d\u5b9a\u306b\u3088\u308a\u3001LangChain\u306e\u30c8\u30ec\u30fc\u30b9\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">os.environ[&#8220;LANGCHAIN_PROJECT&#8221;] = f&#8221;reflection  &#8211; {unique_id}&#8221;<\/span><\/p>\n\n\n\n<p>LangChain\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u540d\u524d\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u751f\u6210\u3057\u305f<code>unique_id<\/code>\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u540d\u3092\u300creflection &#8211; {unique_id}\u300d\u306e\u5f62\u5f0f\u3067\u4e00\u610f\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">os.environ[&#8220;LANGCHAIN_ENDPOINT&#8221;] = &#8220;https:\/\/api.smith.langchain.com&#8221;<\/span><\/p>\n\n\n\n<p>LangChain\u306eAPI\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">os.environ[&#8220;LANGCHAIN_API_KEY&#8221;] = &#8220;***************&#8221;<\/span><\/p>\n\n\n\n<p>LangChain API\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u306eAPI\u30ad\u30fc\u3092\u8a2d\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">LLM\u306e\u8a2d\u5b9a<\/div><div class=\"swell-block-step__body\">\n<p><span class=\"swl-format-2\">\u300cReflection Llama-3.1 70B\u300d\u306eGGUF\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>!ollama pull reflection<\/code><\/pre>\n\n\n\n\n\n\n\n<p><span class=\"swl-format-2\">\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f\u30e2\u30c7\u30eb\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>import ollama\nollama.list()<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code has-swl-gray-background-color has-background\"><code>{'models': &#091;{'name': 'reflection:latest',\n   'model': 'reflection:latest',\n   'modified_at': '2024-09-14T05:54:50.934099176Z',\n   'size': 39969818946,\n   'digest': '5084e77c1e102030795dfbb58fd19adb792e5c0ec5ebf684c5481e3b2d66b740',\n   'details': {'parent_model': '',\n    'format': 'gguf',\n    'family': 'llama',\n    'families': &#091;'llama'],\n    'parameter_size': '70.6B',\n    'quantization_level': 'Q4_0'}}]}<\/code><\/pre>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-1\"><span class=\"swl-format-2\">&#8216;model&#8217;: &#8216;reflection:latest&#8217;,<\/span><\/span><\/p>\n\n\n\n<p>\u30e2\u30c7\u30eb\u540d\u3068\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u8868\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">&#8216;format&#8217;: &#8216;gguf&#8217;,<\/span><\/p>\n\n\n\n<p>\u30e2\u30c7\u30eb\u304c\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u300cGGUF\u300d\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">&#8216;parameter_size&#8217;: &#8216;70.6B&#8217;,<\/span><\/p>\n\n\n\n<p>\u30e2\u30c7\u30eb\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u6570(70.6\u5104)\u3092\u8868\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">&#8216;quantization_level&#8217;: &#8216;Q4_0&#8217;<\/span><\/p>\n\n\n\n<p>\u30e2\u30c7\u30eb\u306b\u9069\u7528\u3055\u308c\u305f\u91cf\u5b50\u5316\u306e\u30ec\u30d9\u30eb(Q4_0)\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"is-style-balloon_box\">Ollama\u306e\u8a73\u3057\u3044\u4f7f\u3044\u65b9\u306f\u3001\u5225\u306e\u8a18\u4e8b\u3067\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n<div class=\"swell-block-postLink\">\t\t\t<div class=\"p-blogCard -internal\" data-type=\"type1\" data-onclick=\"clickLink\">\n\t\t\t\t<div class=\"p-blogCard__inner\">\n\t\t\t\t\t<span class=\"p-blogCard__caption\">\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t<div class=\"p-blogCard__thumb c-postThumb\"><figure class=\"c-postThumb__figure\"><img decoding=\"async\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/ollamapython-eyecatch-300x158.jpg\" alt=\"\" class=\"c-postThumb__img u-obf-cover\" width=\"320\" height=\"180\"><\/figure><\/div>\t\t\t\t\t<div class=\"p-blogCard__body\">\n\t\t\t\t\t\t<a class=\"p-blogCard__title\" href=\"https:\/\/highreso.jp\/edgehub\/machinelearning\/ollamapython.html\">Ollama\u3092Python\u3067\u4f7f\u3044\u305f\u3044\uff01\u30ed\u30fc\u30ab\u30ebLLM\u3092\u5feb\u9069\u306b\u52d5\u304b\u3059\uff01<\/a>\n\t\t\t\t\t\t<span class=\"p-blogCard__excerpt\">ollama-python\u306fPython\u74b0\u5883\u3067Ollama\u304c\u4f7f\u3048\u308b\u7121\u6599\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002 ollama-python\u3092\u5229\u7528\u3059\u308c\u3070\u3001\u30ed\u30fc\u30ab\u30ebLLM\u3092API\u3067\u7c21\u5358\u306b\u6d3b\u7528\u3067\u304d\u305f\u308a\u3001RAG\u3084\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3078\u306e\u7d71\u5408\u3082&#8230;<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><\/div><\/div>\n\n\n\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u5b9a\u7fa9<\/div><div class=\"swell-block-step__body\">\n<p><span class=\"swl-format-2\">\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3059\u308b\u305f\u3081\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u5b9a\u7fa9\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>from langchain.prompts import PromptTemplate\n\nprompt = PromptTemplate(\n    template=\"\"\"You are a world-class AI system, capable of complex reasoning and reflection. Please think about the problem inside &lt;thinking&gt; tags, and then provide your final answer inside &lt;output&gt; tags. If you detect an error in your reasoning at any time, please correct yourself in the &lt;reflection&gt; tag.\n    Input:\n    {input}\n    \"\"\",\n    input_variables=&#091;\"input\"],\n)<\/code><\/pre>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-1\"><span class=\"swl-format-2\">PromptTemplate(<\/span><\/span>)<\/p>\n\n\n\n<p>&lt;thinking&gt;\u30bf\u30b0\u5185\u306b\u63a8\u8ad6\u306e\u5185\u5bb9\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>&lt;output&gt;\u30bf\u30b0\u5185\u306b\u6700\u7d42\u7684\u306a\u7b54\u3048\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>&lt;reflection&gt;\u30bf\u30b0\u5185\u3067\u3001\u30a8\u30e9\u30fc\u304c\u691c\u51fa\u3055\u308c\u305f\u5834\u5408\u306b\u81ea\u5df1\u4fee\u6b63\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><code>{input}<\/code>\u306f\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u633f\u5165\u3055\u308c\u308b\u5909\u6570\u3092\u8868\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><code>input_variables<\/code>\u306b\u306f\u3001\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u5185\u3067\u4f7f\u7528\u3055\u308c\u308b\u5909\u6570<code>{input}<\/code>\u304c\u6307\u5b9a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"swell-block-step__item\"><div class=\"swell-block-step__number u-bg-main\"><span class=\"__label\">STEP<\/span><\/div><div class=\"swell-block-step__title u-fz-l\">\u30d7\u30ed\u30f3\u30d7\u30c8\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u5b9a\u7fa9<\/div><div class=\"swell-block-step__body\">\n<p><span class=\"swl-format-2\">LangChain\u306eOllama\u306b\u30e2\u30c7\u30eb\u3092\u8a2d\u5b9a\u3057\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u304b\u3089LLM\u3067\u751f\u6210\u3059\u308b\u30c1\u30a7\u30fc\u30f3\u3092\u69cb\u7bc9\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>from langchain_ollama import ChatOllama\nfrom langchain_core.output_parsers import StrOutputParser\n\nllm = ChatOllama(\n    model=\"reflection\",\n    temperature=0,\n)\nreflection_model = prompt | llm | StrOutputParser()<\/code><\/pre>\n\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p><span class=\"swl-format-2\">llm = ChatOllama(model=&#8221;reflection&#8221;, temperature=0)<\/span><\/p>\n\n\n\n<p><code>model=\"reflection\"<\/code>\u306f\u3001\u300cReflection Llama-3.1 70B\u300d\u306e\u30e2\u30c7\u30eb\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<code>temperature=0<\/code>\u306f\u3001\u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u306e\u30e9\u30f3\u30c0\u30e0\u6027\u3092\u5236\u5fa1\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u30010\u306b\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u3067\u5b89\u5b9a\u7684\u306a\u51fa\u529b\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p><span class=\"swl-format-2\">reflection_model = prompt | llm | StrOutputParser()<\/span><\/p>\n\n\n\n<p>\u30d7\u30ed\u30f3\u30d7\u30c8<code>prompt<\/code>\u304b\u3089\u59cb\u307e\u308a\u3001\u30e2\u30c7\u30eb<code>llm<\/code>\u3092\u901a\u3057\u3066\u751f\u6210\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u304c\u3001\u6700\u5f8c\u306b<code>StrOutputParser<\/code>\u306b\u3088\u3063\u3066\u51fa\u529b\u3055\u308c\u308b\u6d41\u308c\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u3067\u63a8\u8ad6\u3057\u3066\u307f\u308b<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma31_midashi.jpg\" alt=\"\u898b\u51fa\u3057\u753b\u50cf\" class=\"wp-image-10007\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma31_midashi.jpg 600w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/08\/kuma31_midashi-300x150.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u3067\u63a8\u8ad6\u3057\u3066\u307f\u308b(\uff11)<\/h3>\n\n\n\n<p><span class=\"swl-format-2\">\u300c2\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u3063\u305f\u3068\u304d\u306b\u3001\u5408\u8a08\u304c7\u306b\u306a\u308b\u78ba\u7387\u3092\u6c42\u3081\u308b\u300d\u63a8\u8ad6\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>reflection_model.invoke({'input': \"Calculate the probability of rolling a total of 7 when rolling two dice.\"})<\/code><\/pre>\n\n\n<div class=\"swell-block-balloon\"><div class=\"c-balloon -bln-right\" data-col=\"green\"><div class=\"c-balloon__body -speaking -border-none\"><div class=\"c-balloon__text\">\n<p>\u539f\u6587\uff1aCalculate the probability of rolling a total of 7 when rolling two dice.<br><br>\u7ffb\u8a33\uff1a2\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u3063\u305f\u3068\u304d\u306b\u3001\u5408\u8a08\u304c7\u306b\u306a\u308b\u78ba\u7387\u3092\u6c42\u3081\u306a\u3055\u3044\u3002<\/p>\n<span class=\"c-balloon__shapes\"><span class=\"c-balloon__before\"><\/span><span class=\"c-balloon__after\"><\/span><\/span><\/div><\/div><\/div><\/div>\n\n<div class=\"swell-block-balloon\"><div class=\"c-balloon -bln-left\" data-col=\"gray\"><div class=\"c-balloon__body -speaking -border-none\"><div class=\"c-balloon__text\">\n<p>\u539f\u6587\uff1a<br>&#8220;&lt;thinking&gt;\\nTo solve this problem, we need to calculate the probability of rolling a total of 7 with two dice. Let&#8217;s break it down into steps:\\n\\n1. Understand the possible outcomes for each die:\\n   &#8211; Each die has 6 faces (1, 2, 3, 4, 5, 6)\\n   &#8211; There are 36 possible combinations when rolling two dice\\n\\n2. Identify all combinations that sum to 7:\\n   &#8211; (1, 6), (2, 5), (3, 4), (4, 3), (5, 2), (6, 1)\\n\\n3. Count the favorable outcomes:\\n   &#8211; There are 6 favorable outcomes\\n\\n4. Calculate the probability:\\n   &#8211; Probability = Number of favorable outcomes \/ Total number of possible outcomes\\n   &#8211; Probability = 6 \/ 36 = 1\/6\\n\\n&lt;reflection&gt;\\nLet&#8217;s verify our calculation:\\n- We correctly identified all combinations that sum to 7.\\n- The total number of possible outcomes (36) is correct, as it&#8217;s the product of the number of faces on each die (6 * 6).\\n- Our probability calculation seems accurate: 6 favorable outcomes out of 36 possible ones.\\n\\nThe reasoning and calculations appear to be correct. We can proceed with confidence.\\n&lt;\/reflection&gt;\\n&lt;\/thinking&gt;\\n\\n&lt;output&gt;\\nThe probability of rolling a total of 7 when rolling two dice is 1\/6 or approximately 0.1667 (rounded to four decimal places).\\n\\nTo arrive at this answer, we considered the following:\\n\\n1. Each die has six faces (1 through 6), resulting in 36 possible combinations when rolling two dice.\\n\\n2. We identified all combinations that sum up to 7:\\n   &#8211; (1, 6)\\n   &#8211; (2, 5)\\n   &#8211; (3, 4)\\n   &#8211; (4, 3)\\n   &#8211; (5, 2)\\n   &#8211; (6, 1)\\n\\n3. There are six favorable outcomes out of the total 36 possible combinations.\\n\\n4. The probability is calculated as:\\n   Probability = Number of favorable outcomes \/ Total number of possible outcomes\\n               = 6 \/ 36\\n               = 1\/6\\n\\nThis result means that if you were to roll two dice many times, you would expect to get a sum of 7 about one-sixth of the time. It&#8217;s worth noting that rolling a total of 7 is actually the most common outcome when rolling two six-sided dice, as it has more possible combinations than any other number.\\n&lt;\/output&gt;&#8221;<br><br>\u7ffb\u8a33\uff1a<br>&lt;thinking&gt;<br>\u3053\u306e\u554f\u984c\u3092\u89e3\u304f\u305f\u3081\u306b\u306f\u30012\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u3063\u305f\u3068\u304d\u306b\u5408\u8a08\u304c7\u306b\u306a\u308b\u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3066\u8003\u3048\u307e\u3057\u3087\u3046\u3002<br>\u5404\u30b5\u30a4\u30b3\u30ed\u306e\u53ef\u80fd\u306a\u7d50\u679c\u3092\u7406\u89e3\u3057\u307e\u3059\uff1a<br>\u5404\u30b5\u30a4\u30b3\u30ed\u306b\u306f6\u3064\u306e\u9762\u304c\u3042\u308a\u307e\u3059\uff081\u30012\u30013\u30014\u30015\u30016\uff09\u3002<br>2\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u308b\u3068\u300136\u901a\u308a\u306e\u7d44\u307f\u5408\u308f\u305b\u304c\u53ef\u80fd\u3067\u3059\u3002<br>\u5408\u8a08\u304c7\u306b\u306a\u308b\u3059\u3079\u3066\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u7279\u5b9a\u3057\u307e\u3059\uff1a<br>(1, 6)\u3001(2, 5)\u3001(3, 4)\u3001(4, 3)\u3001(5, 2)\u3001(6, 1)<br>\u6709\u5229\u306a\u7d50\u679c\u3092\u6570\u3048\u307e\u3059\uff1a<br>6\u901a\u308a\u306e\u6709\u5229\u306a\u7d50\u679c\u304c\u3042\u308a\u307e\u3059\u3002<br>\u78ba\u7387\u3092\u8a08\u7b97\u3057\u307e\u3059\uff1a<br>\u78ba\u7387 = \u6709\u5229\u306a\u7d50\u679c\u306e\u6570 \/ \u5168\u4f53\u306e\u53ef\u80fd\u306a\u7d50\u679c\u306e\u6570<br>\u78ba\u7387 = 6 \/ 36 = 1\/6<br>&lt;reflection&gt;<br>\u8a08\u7b97\u3092\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3057\u3087\u3046\uff1a<br>\u5408\u8a08\u304c7\u306b\u306a\u308b\u3059\u3079\u3066\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u6b63\u78ba\u306b\u7279\u5b9a\u3057\u307e\u3057\u305f\u3002<br>\u5168\u4f53\u306e\u53ef\u80fd\u306a\u7d50\u679c\u306e\u6570\uff0836\uff09\u306f\u6b63\u3057\u3044\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u5404\u30b5\u30a4\u30b3\u30ed\u306e\u9762\u306e\u6570\uff086 * 6\uff09\u306e\u7a4d\u3067\u3059\u3002<br>\u78ba\u7387\u8a08\u7b97\u3082\u6b63\u78ba\u3067\u3059\uff1a36\u901a\u308a\u306e\u4e2d\u30676\u901a\u308a\u306e\u6709\u5229\u306a\u7d50\u679c\u304c\u3042\u308a\u307e\u3059\u3002<br>\u7406\u7531\u3068\u8a08\u7b97\u306f\u6b63\u3057\u3044\u3088\u3046\u3067\u3059\u3002\u81ea\u4fe1\u3092\u6301\u3063\u3066\u6b21\u306b\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<br>&lt;\/reflection&gt;<br>&lt;\/thinking&gt;<br>&lt;output&gt;<br>2\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u3063\u305f\u3068\u304d\u306b\u5408\u8a08\u304c7\u306b\u306a\u308b\u78ba\u7387\u306f1\/6\u3001\u3064\u307e\u308a\u7d040.1667\uff08\u5c0f\u6570\u70b9\u4ee5\u4e0b4\u6841\u306b\u4e38\u3081\u305f\u5024\uff09\u3067\u3059\u3002<br>\u3053\u306e\u7b54\u3048\u306b\u81f3\u308b\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u70b9\u3092\u8003\u616e\u3057\u307e\u3057\u305f\uff1a<br>\u5404\u30b5\u30a4\u30b3\u30ed\u306b\u306f1\u304b\u30896\u307e\u3067\u306e6\u3064\u306e\u9762\u304c\u3042\u308a\u30012\u3064\u306e\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u308b\u306836\u901a\u308a\u306e\u7d44\u307f\u5408\u308f\u305b\u304c\u53ef\u80fd\u3067\u3059\u3002<br>\u5408\u8a08\u304c7\u306b\u306a\u308b\u3059\u3079\u3066\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u7279\u5b9a\u3057\u307e\u3057\u305f\uff1a<br>(1, 6)<br>(2, 5)<br>(3, 4)<br>(4, 3)<br>(5, 2)<br>(6, 1)<br>36\u901a\u308a\u306e\u5168\u7d44\u307f\u5408\u308f\u305b\u306e\u3046\u3061\u30016\u901a\u308a\u304c\u6709\u5229\u306a\u7d50\u679c\u3067\u3059\u3002<br>\u78ba\u7387\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\uff1a \u78ba\u7387 = \u6709\u5229\u306a\u7d50\u679c\u306e\u6570 \/ \u5168\u4f53\u306e\u53ef\u80fd\u306a\u7d50\u679c\u306e\u6570 = 6 \/ 36 = 1\/6<br>\u3053\u306e\u7d50\u679c\u306f\u3001\u3082\u3057\u30b5\u30a4\u30b3\u30ed\u3092\u4f55\u5ea6\u3082\u632f\u308b\u3068\u3057\u305f\u3089\u3001\u7d046\u56de\u306b1\u56de\u306f\u5408\u8a08\u304c7\u306b\u306a\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u30022\u3064\u306e6\u9762\u30b5\u30a4\u30b3\u30ed\u3092\u632f\u308b\u969b\u3001\u5408\u8a08\u304c7\u306b\u306a\u308b\u306e\u306f\u5b9f\u969b\u306b\u6700\u3082\u4e00\u822c\u7684\u306a\u7d50\u679c\u3067\u3042\u308a\u3001\u4ed6\u306e\u3069\u306e\u6570\u5b57\u3088\u308a\u3082\u591a\u304f\u306e\u7d44\u307f\u5408\u308f\u305b\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<br>&lt;\/output&gt;<\/p>\n<span class=\"c-balloon__shapes\"><span class=\"c-balloon__before\"><\/span><span class=\"c-balloon__after\"><\/span><\/span><\/div><\/div><\/div><\/div>\n\n\n<div class=\"swell-block-capbox cap_box is-style-onborder_ttl2\" data-colset=\"col3\"><div class=\"cap_box_ttl\"><span>\u30b3\u30fc\u30c9\u306e\u8aac\u660e<\/span><\/div><div class=\"cap_box_content\">\n<p>&lt;thinking&gt;\u30bf\u30b0\u5185\u306b\u63a8\u8ad6\u306e\u5185\u5bb9\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>&lt;output&gt;\u30bf\u30b0\u5185\u306b\u6700\u7d42\u7684\u306a\u7b54\u3048\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>&lt;reflection&gt;\u30bf\u30b0\u5185\u3067\u3001\u30a8\u30e9\u30fc\u304c\u691c\u51fa\u3055\u308c\u305f\u5834\u5408\u306b\u81ea\u5df1\u4fee\u6b63\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"is-style-icon_good\">\u6b63\u3057\u3044\u8a08\u7b97\u304c\u3055\u308c\u3066\u3044\u307e\u3059\uff01<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Reflection Llama-3.1 70B\u3067\u63a8\u8ad6\u3057\u3066\u307f\u308b(\uff12)<\/h3>\n\n\n\n<p><span class=\"swl-format-2\">\u300c\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u305f\u3068\u304d\u3001\u3059\u3079\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u3092\u8a08\u7b97\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u300d\u63a8\u8ad6\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<\/span><\/p>\n\n\n\n<pre class=\"wp-block-code has-black-background-color has-background\"><code>reflection_model.invoke({'input': \"Calculate the probability of getting heads on all three flips when flipping a coin three times.\"})<\/code><\/pre>\n\n\n<div class=\"swell-block-balloon\"><div class=\"c-balloon -bln-right\" data-col=\"green\"><div class=\"c-balloon__body -speaking -border-none\"><div class=\"c-balloon__text\">\n<p>\u539f\u6587\uff1aCalculate the probability of getting heads on all three flips when flipping a coin three times.<br><br>\u7ffb\u8a33\uff1a\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u305f\u3068\u304d\u3001\u3059\u3079\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u3092\u8a08\u7b97\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<span class=\"c-balloon__shapes\"><span class=\"c-balloon__before\"><\/span><span class=\"c-balloon__after\"><\/span><\/span><\/div><\/div><\/div><\/div>\n\n<div class=\"swell-block-balloon\"><div class=\"c-balloon -bln-left\" data-col=\"gray\"><div class=\"c-balloon__body -speaking -border-none\"><div class=\"c-balloon__text\">\n<p>\u539f\u6587\uff1a<br>&#8220;&lt;thinking&gt;\\nTo solve this problem, we need to calculate the probability of getting heads on all three flips when flipping a coin three times. Let&#8217;s break it down step by step:\\n\\n1. Understand the basic probability of a single coin flip:\\n &#8211; A fair coin has two sides: heads and tails.\\n &#8211; The probability of getting heads on a single flip is 1\/2 or 0.5.\\n\\n2. Determine the number of flips:\\n &#8211; We are flipping the coin three times.\\n\\n3. Calculate the probability for each flip:\\n &#8211; For each individual flip, the probability of getting heads remains 1\/2 or 0.5.\\n\\n4. Apply the multiplication rule for independent events:\\n &#8211; When we have multiple independent events (like separate coin flips), we multiply their probabilities to get the combined probability.\\n &#8211; So, we need to calculate: (1\/2) * (1\/2) * (1\/2)\\n\\n5. Simplify and express the result as a fraction or decimal.\\n\\nLet&#8217;s work through this calculation:\\n\\n(1\/2) * (1\/2) * (1\/2) = 1\/8\\n\\nThis can also be expressed as 0.125 in decimal form.\\n\\n&lt;reflection&gt;\\nLet&#8217;s verify our reasoning:\\n- We correctly identified that each flip is an independent event.\\n- We used the multiplication rule for independent events, which is correct.\\n- Our calculation of 1\/8 or 0.125 seems logical and mathematically sound.\\n- This result makes sense intuitively: getting heads on all three flips should be less likely than any other specific outcome.\\n\\nThe reasoning appears to be correct, so we can proceed with confidence in our answer.\\n&lt;\/reflection&gt;\\n&lt;\/thinking&gt;\\n\\n&lt;output&gt;\\nThe probability of getting heads on all three flips when flipping a coin three times is 1\/8 or 0.125 (12.5%).\\n\\nTo arrive at this result, we need to consider the following:\\n\\n1. Each individual coin flip has a 50% chance of landing on heads.\\n2. When we have multiple independent events (like separate coin flips), we multiply their probabilities to get the combined probability.\\n3. In this case, we&#8217;re flipping the coin three times, so we calculate: (1\/2) * (1\/2) * (1\/2) = 1\/8\\n\\nThis result makes sense intuitively because getting heads on all three flips is less likely than any other specific outcome. For example, you could get two heads and one tail in multiple ways (HTT, THT, or TTH), but there&#8217;s only one way to get three heads in a row.\\n\\nIt&#8217;s worth noting that this probability applies specifically to the sequence HHH (heads on all three flips). If we were interested in getting exactly three heads regardless of order, the calculation would be different and involve combinations. However, for the specific question asked, 1\/8 or 0.125 is the correct answer.\\n&lt;\/output&gt;&#8221;<br><br>\u7ffb\u8a33\uff1a<br>&lt;thinking&gt; \u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u305f\u3068\u304d\u306b\u5168\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u30b9\u30c6\u30c3\u30d7\u3054\u3068\u306b\u5206\u89e3\u3057\u3066\u307f\u307e\u3057\u3087\u3046\uff1a<br>\u5358\u4e00\u306e\u30b3\u30a4\u30f3\u30c8\u30b9\u306e\u57fa\u672c\u7684\u306a\u78ba\u7387\u3092\u7406\u89e3\u3059\u308b\uff1a<br>\u516c\u5e73\u306a\u30b3\u30a4\u30f3\u306b\u306f\u3001\u8868\u3068\u88cf\u306e2\u3064\u306e\u9762\u304c\u3042\u308a\u307e\u3059\u3002<br>1\u56de\u306e\u30b3\u30a4\u30f3\u30c8\u30b9\u3067\u8868\u304c\u51fa\u308b\u78ba\u7387\u306f1\/2\u3001\u3064\u307e\u308a0.5\u3067\u3059\u3002<br>\u30b3\u30a4\u30f3\u30c8\u30b9\u306e\u56de\u6570\u3092\u78ba\u8a8d\u3059\u308b\uff1a<br>\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u307e\u3059\u3002<br>\u5404\u30b3\u30a4\u30f3\u30c8\u30b9\u306e\u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\uff1a<br>\u5404\u30b3\u30a4\u30f3\u30c8\u30b9\u3054\u3068\u306b\u3001\u8868\u304c\u51fa\u308b\u78ba\u7387\u306f1\/2\u3001\u3064\u307e\u308a0.5\u306e\u307e\u307e\u3067\u3059\u3002<br>\u72ec\u7acb\u3057\u305f\u4e8b\u8c61\u306e\u7a4d\u306e\u6cd5\u5247\u3092\u9069\u7528\u3059\u308b\uff1a<br>\u72ec\u7acb\u3057\u305f\u8907\u6570\u306e\u4e8b\u8c61\uff08\u4f8b\u3048\u3070\u3001\u5225\u3005\u306e\u30b3\u30a4\u30f3\u30c8\u30b9\uff09\u304c\u3042\u308b\u5834\u5408\u3001\u305d\u308c\u3089\u306e\u78ba\u7387\u3092\u639b\u3051\u5408\u308f\u305b\u3066\u5168\u4f53\u306e\u78ba\u7387\u3092\u6c42\u3081\u307e\u3059\u3002<br>\u3057\u305f\u304c\u3063\u3066\u3001\u6b21\u306e\u8a08\u7b97\u3092\u884c\u3044\u307e\u3059\uff1a(1\/2) * (1\/2) * (1\/2)<br>\u7d50\u679c\u3092\u7c21\u7565\u5316\u3057\u3001\u5206\u6570\u307e\u305f\u306f\u5c0f\u6570\u3067\u8868\u73fe\u3059\u308b\u3002<br>\u3053\u306e\u8a08\u7b97\u3092\u9032\u3081\u307e\u3057\u3087\u3046\uff1a<br>(1\/2) * (1\/2) * (1\/2) = 1\/8<br>\u3053\u308c\u306f\u5c0f\u6570\u5f62\u5f0f\u3067\u306f0.125\u3068\u8868\u73fe\u3067\u304d\u307e\u3059\u3002<br>&lt;reflection&gt; \u79c1\u305f\u3061\u306e\u63a8\u8ad6\u3092\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\uff1a<br>\u5404\u30b3\u30a4\u30f3\u30c8\u30b9\u304c\u72ec\u7acb\u3057\u305f\u4e8b\u8c61\u3067\u3042\u308b\u3053\u3068\u3092\u6b63\u3057\u304f\u8a8d\u8b58\u3057\u307e\u3057\u305f\u3002<br>\u72ec\u7acb\u3057\u305f\u4e8b\u8c61\u306e\u7a4d\u306e\u6cd5\u5247\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u304c\u3001\u3053\u308c\u306f\u6b63\u3057\u3044\u65b9\u6cd5\u3067\u3059\u3002<br>1\/8\u307e\u305f\u306f0.125\u3068\u3044\u3046\u8a08\u7b97\u7d50\u679c\u306f\u8ad6\u7406\u7684\u3067\u3001\u6570\u5b66\u7684\u306b\u3082\u6b63\u3057\u3044\u3088\u3046\u3067\u3059\u3002<br>\u3053\u306e\u7d50\u679c\u306f\u76f4\u611f\u7684\u306b\u3082\u610f\u5473\u304c\u3042\u308a\u307e\u3059\u3002\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u3066\u5168\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u306f\u3001\u4ed6\u306e\u7279\u5b9a\u306e\u7d50\u679c\u3088\u308a\u3082\u4f4e\u3044\u306f\u305a\u3067\u3059\u3002<br>\u63a8\u8ad6\u306f\u6b63\u3057\u3044\u3088\u3046\u306a\u306e\u3067\u3001\u81ea\u4fe1\u3092\u6301\u3063\u3066\u3053\u306e\u7b54\u3048\u3067\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<br>&lt;\/reflection&gt; &lt;\/thinking&gt;<br>&lt;output&gt; \u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u3066\u5168\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u306f1\/8\u3001\u3064\u307e\u308a0.125\uff0812.5%\uff09\u3067\u3059\u3002<br>\u3053\u306e\u7d50\u679c\u306b\u5230\u9054\u3059\u308b\u305f\u3081\u306b\u3001\u4ee5\u4e0b\u306e\u70b9\u3092\u8003\u616e\u3057\u307e\u3057\u305f\uff1a<br>\u5404\u30b3\u30a4\u30f3\u30c8\u30b9\u306b\u306f50%\u306e\u78ba\u7387\u3067\u8868\u304c\u51fa\u307e\u3059\u3002<br>\u72ec\u7acb\u3057\u305f\u8907\u6570\u306e\u4e8b\u8c61\uff08\u4f8b\u3048\u3070\u3001\u5225\u3005\u306e\u30b3\u30a4\u30f3\u30c8\u30b9\uff09\u304c\u3042\u308b\u5834\u5408\u3001\u305d\u308c\u3089\u306e\u78ba\u7387\u3092\u639b\u3051\u5408\u308f\u305b\u3066\u5168\u4f53\u306e\u78ba\u7387\u3092\u6c42\u3081\u307e\u3059\u3002<br>\u3053\u306e\u5834\u5408\u3001\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u308b\u306e\u3067\u3001\u6b21\u306e\u8a08\u7b97\u3092\u884c\u3044\u307e\u3059\uff1a(1\/2) * (1\/2) * (1\/2) = 1\/8<br>\u3053\u306e\u7d50\u679c\u306f\u76f4\u611f\u7684\u306b\u3082\u610f\u5473\u304c\u3042\u308a\u307e\u3059\u3002\u30b3\u30a4\u30f3\u30923\u56de\u6295\u3052\u3066\u5168\u3066\u8868\u304c\u51fa\u308b\u78ba\u7387\u306f\u3001\u4ed6\u306e\u7279\u5b9a\u306e\u7d50\u679c\u3088\u308a\u3082\u4f4e\u3044\u306f\u305a\u3067\u3059\u3002\u4f8b\u3048\u3070\u30012\u56de\u8868\u30671\u56de\u88cf\u304c\u51fa\u308b\u53ef\u80fd\u6027\uff08HTT\u3001THT\u3001TTH\u306a\u3069\uff09\u306f\u8907\u6570\u3042\u308a\u307e\u3059\u304c\u30013\u56de\u9023\u7d9a\u3067\u8868\u304c\u51fa\u308b\u53ef\u80fd\u6027\u306f1\u901a\u308a\u3057\u304b\u3042\u308a\u307e\u305b\u3093\u3002<br>\u306a\u304a\u3001\u3053\u306e\u78ba\u7387\u306f\u7279\u5b9a\u306e\u9806\u5e8f\uff08HHH\u3001\u3064\u307e\u308a3\u56de\u9023\u7d9a\u3067\u8868\u304c\u51fa\u308b\uff09\u306b\u9069\u7528\u3055\u308c\u307e\u3059\u3002\u3082\u3057\u9806\u5e8f\u306b\u95a2\u4fc2\u306a\u304f3\u56de\u8868\u304c\u51fa\u308b\u78ba\u7387\u3092\u6c42\u3081\u305f\u3044\u5834\u5408\u306f\u3001\u8a08\u7b97\u65b9\u6cd5\u304c\u7570\u306a\u308a\u3001\u7d44\u307f\u5408\u308f\u305b\u3092\u8003\u616e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u4eca\u56de\u306e\u7279\u5b9a\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u306f\u30011\/8\u307e\u305f\u306f0.125\u304c\u6b63\u3057\u3044\u7b54\u3048\u3067\u3059\u3002 &lt;\/output&gt;<\/p>\n<span class=\"c-balloon__shapes\"><span class=\"c-balloon__before\"><\/span><span class=\"c-balloon__after\"><\/span><\/span><\/div><\/div><\/div><\/div>\n\n\n<p class=\"is-style-icon_good\">LLM\u304c\u3069\u306e\u3088\u3046\u306a\u8003\u3048\u3067\u7b54\u3048\u3092\u51fa\u3057\u305f\u304b\u3092\u78ba\u8a8d\u3067\u304d\u308b\u306e\u306f\u826f\u3044\u3067\u3059\u306d\uff01<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"index_id8\">\u751f\u6210AI\u30fbLLM\u306e\u30b3\u30b9\u30c8\u3067\u304a\u56f0\u308a\u306a\u3089<\/h2>\n\n\n\n<p>GPU\u306e\u30b9\u30da\u30c3\u30af\u4e0d\u8db3\u3067\u751f\u6210AI\u306e\u958b\u767a\u304c\u601d\u3046\u3088\u3046\u306b\u9032\u307e\u306a\u3044\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u304b\uff1f<\/p>\n\n\n\n<p>\u305d\u3093\u306a\u3068\u304d\u306b\u306f\u3001<strong><span class=\"swl-format-2\">\u9ad8\u6027\u80fd\u306aGPU\u3092\u30ea\u30fc\u30ba\u30ca\u30d6\u30eb\u306a\u4fa1\u683c\u3067\u4f7f\u3048\u308bGPU\u30af\u30e9\u30a6\u30c9\u30b5\u30fc\u30d3\u30b9\u304c\u304a\u3059\u3059\u3081\u3067\u3059\uff01<\/span><\/strong><\/p>\n\n\n\n<div class=\"p-blogParts post_content\" data-partsID=\"4543\">\n<div class=\"swell-block-capbox cap_box\" data-colset=\"col2\"><div class=\"cap_box_ttl\"><span>GPUSOROBAN<\/span><\/div><div class=\"cap_box_content\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1462\" height=\"508\" src=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/h100_banner.jpg\" alt=\"GPUSOROBAN\" class=\"wp-image-10134\" srcset=\"https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/h100_banner.jpg 1462w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/h100_banner-300x104.jpg 300w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/h100_banner-1024x356.jpg 1024w, https:\/\/highreso.jp\/edgehub\/wp-content\/uploads\/2024\/06\/h100_banner-768x267.jpg 768w\" sizes=\"(max-width: 1462px) 100vw, 1462px\" \/><\/figure>\n\n\n\n<p>GPUSOROBAN\u306f\u3001<span class=\"swl-marker mark_yellow\"><span class=\"swl-format-1\">\u9ad8\u6027\u80fdGPU\u300cNVIDIA H200\u300d\u3092\u696d\u754c\u6700\u5b89\u7d1a\u306e\u6599\u91d1\u3067\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n\n\n\n<p>NVIDIA H200\u306f\u3001\u751f\u6210AI\u30fbLLM\u306e\u8a08\u7b97\u306b\u304b\u304b\u308b\u6642\u9593\u3092\u5927\u5e45\u306b\u77ed\u7e2e\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u30af\u30e9\u30a6\u30c9\u3067\u4f7f\u3048\u308b\u305f\u3081\u3001\u5927\u898f\u6a21\u306a\u8a2d\u5099\u6295\u8cc7\u306e\u5fc5\u8981\u304c\u306a\u304f\u3001\u7169\u96d1\u306a\u30b5\u30fc\u30d0\u30fc\u7ba1\u7406\u304b\u3089\u3082\u89e3\u653e\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"swell-block-columns\"><div class=\"swell-block-columns__inner\">\n<div class=\"swell-block-column swl-has-mb--s\">\n<div class=\"swell-block-button blue_ -size-l is-style-btn_normal\"><a href=\"https:\/\/soroban.highreso.jp\/?utm_medium=edgehub&amp;utm_source=edgehub&amp;utm_campaign=highend_boxb&amp;adid=edgehub\" class=\"swell-block-button__link\"><span>\u516c\u5f0f\u30b5\u30a4\u30c8\u3092\u307f\u308b<\/span><\/a><\/div>\n<\/div>\n\n\n\n<div class=\"swell-block-column swl-has-mb--s\">\n<div class=\"swell-block-button red_ -size-l is-style-btn_normal\"><a href=\"https:\/\/soroban.highreso.jp\/download\/compute-catalog\/?utm_medium=edgehub&amp;utm_source=edgehub&amp;utm_campaign=highend_boxb&amp;adid=edgehub\" class=\"swell-block-button__link\"><span>\u8cc7\u6599\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/span><\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Reflection Llama-3.1 70B\u306f\u3001\u81ea\u5df1\u4fee\u6b63\u6a5f\u80fd\u3092\u6301\u3064\u300cReflection-Tuning\u300d\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305fLLM\u3067\u3059\u3002 \u63a8\u8ad6\u4e2d\u306b\u8aa4\u308a\u3092\u691c\u51fa\u3057\u4fee\u6b63\u3059\u308b\u3053\u3068\u3067\u3001\u9ad8\u3044\u7cbe\u5ea6\u3068\u751f\u6210\u904e\u7a0b\u306e\u900f\u660e\u6027\u3092\u5b9f\u73fe\u3057\u3001Cla [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11514,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","footnotes":""},"categories":[20],"tags":[],"class_list":["post-11474","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machinelearning"],"_links":{"self":[{"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/posts\/11474","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/comments?post=11474"}],"version-history":[{"count":3,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/posts\/11474\/revisions"}],"predecessor-version":[{"id":11911,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/posts\/11474\/revisions\/11911"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/media\/11514"}],"wp:attachment":[{"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/media?parent=11474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/categories?post=11474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/highreso.jp\/edgehub\/wp-json\/wp\/v2\/tags?post=11474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}