{"id":6150,"date":"2025-08-15T07:28:09","date_gmt":"2025-08-14T23:28:09","guid":{"rendered":"https:\/\/infernews.com\/?p=6150"},"modified":"2025-08-15T07:29:15","modified_gmt":"2025-08-14T23:29:15","slug":"6150-2","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/6150-2\/","title":{"rendered":"Top 0.1% AI Researchers &#8211; BYTES LLM Inputs"},"content":{"rendered":"\n<p>\u9019\u662f AI \u9818\u57df\u7684\u300c\u79d8\u5bc6\u7a81\u7834\u300d\uff0c\u50c5\u6709\u9802\u5c16 0.1% \u7684\u7814\u7a76\u8005\u77e5\u66c9\uff1a\u76f4\u63a5\u5c07\u539f\u59cb\u4f4d\u5143\u7d44\uff08raw bytes\uff09\u8f38\u5165\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff08LLMs\uff09\uff0c\u4e26\u4f7f\u7528\u4ee3\u6578\u62d3\u64b2\uff08algebraic topology\uff09\u5206\u6790\uff0c\u900f\u904e\u6301\u4e45\u540c\u8abf\uff08persistent homology\uff09\u63ed\u793a\u50b3\u7d71\u6a21\u578b\u7121\u6cd5\u5bdf\u89ba\u7684\u96b1\u85cf\u8cc7\u6599\u7d50\u69cb\u3002\u9019\u53ef\u80fd\u6539\u8b8a AI \u8655\u7406\u591a\u6a21\u614b\u8cc7\u6599\uff08\u5982\u6587\u5b57\u3001\u5f71\u50cf\u3001\u5f71\u7247\uff09\u7684\u672a\u4f86\u3002<\/p>\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"lyte-wrapper\" title=\"SECRET: Top 0.1% AI Researchers - BYTES LLM Inputs - Topology - Persistent Homology - Episode 1\" style=\"width:853px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_ier-By8zmas\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fier-By8zmas%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/ier-By8zmas\" \/><meta itemprop=\"duration\" content=\"PT37M59S\" \/><meta itemprop=\"uploadDate\" content=\"2025-08-14T09:00:53Z\" \/><\/div><div id=\"lyte_ier-By8zmas\" data-src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fier-By8zmas%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">SECRET: Top 0.1% AI Researchers - BYTES LLM Inputs - Topology - Persistent Homology - Episode 1<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/ier-By8zmas\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fier-By8zmas%2F0.jpg\" alt=\"SECRET: Top 0.1% AI Researchers - BYTES LLM Inputs - Topology - Persistent Homology - Episode 1\" width=\"853\" height=\"460\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"SECRET Only Top 0.1% AI Researchers Know: The Next Big Breakthrough in AI is Here \u2014 Feeding Raw Bytes Directly into LLMs and Analyzing Them with Algebraic Topology. Using Persistent Homology, we uncover hidden data structures invisible to traditional models \u2014 this changes everything. Google colab - https:\/\/colab.research.google.com\/drive\/1kJwI2edPAJZecpGVoiO0PUp8wfO_ZI0B?usp=sharing Code LLM (GPT-5, DeepSeek, Qwen3, Llama4) from scratch - https:\/\/github.com\/vukrosic\/open-source-ai-2026 - - Support my Free &amp; Open AI research - https:\/\/ko-fi.com\/vukai Help me do this full time\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:853px;margin:5px auto;\"><\/div><figcaption><\/figcaption><\/figure>\n\n\n<!--more-->\n\n\n\n<p>\u5f71\u7247\u63d0\u4f9b\u5169\u500b\u9023\u7d50\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Google Colab \u7b46\u8a18\u672c\uff1a<a href=\"https:\/\/colab.research.google.com\/drive\/1kJwI2edPAJZecpGVoiO0PUp8wfO_ZI0B?usp=sharing%EF%BC%88%E7%94%A8%E6%96%BC%E5%AF%A6%E9%9A%9B%E9%81%8B%E8%A1%8C%E4%BB%A3%E7%A2%BC%EF%BC%89%E3%80%82\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/colab.research.google.com\/drive\/1kJwI2edPAJZecpGVoiO0PUp8wfO_ZI0B?usp=sharing\uff08\u7528\u65bc\u5be6\u969b\u904b\u884c\u4ee3\u78bc\uff09\u3002<\/a><\/li>\n\n\n\n<li>GitHub \u5132\u5b58\u5eab\uff1a<a href=\"https:\/\/github.com\/vukrosic\/open-source-ai-2026%EF%BC%88%E9%97%9C%E6%96%BC%E5%BE%9E%E9%9B%B6%E5%BB%BA%E6%A7%8B\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/vukrosic\/open-source-ai-2026\uff08\u95dc\u65bc\u5f9e\u96f6\u5efa\u69cb<\/a> Code LLM\uff0c\u5982 GPT-5\u3001DeepSeek\u3001Qwen3\u3001Llama4\uff09\u3002<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e3b\u8981\u5167\u5bb9\u7e3d\u7d50<\/h4>\n\n\n\n<p>Vuk Rosi\u0107 \u5728\u5f71\u7247\u4e2d\u5206\u4eab\u4e00\u500b\u4f86\u81ea\u533f\u540d\u4f86\u6e90\u7684\u300c\u760b\u72c2\u60f3\u6cd5\u300d\uff1a\u5728\u6578\u4f4d\u4e16\u754c\u4e2d\uff0c\u4e00\u5207\u8cc7\u6599\u7686\u4ee5\u4f4d\u5143\u7d44\u70ba\u57fa\u790e\uff0c\u56e0\u6b64\u61c9\u76f4\u63a5\u5c07\u4f4d\u5143\u7d44\u8f38\u5165 AI \u6a21\u578b\uff0c\u800c\u975e\u50b3\u7d71\u7684 tokenization\uff08\u6a19\u8a18\u5316\uff09\u3002\u9019\u80fd\u5e6b\u52a9\u878d\u5408\u591a\u6a21\u614b\u8cc7\u6599\uff0c\u4e26\u900f\u904e\u62d3\u64b2\u5206\u6790\u5b78\u7fd2\u4f4d\u5143\u7d44\u7684\u6a21\u5f0f\u3001\u4f4d\u7f6e\u548c\u7d50\u69cb\u3002\u8b1b\u8005\u627f\u8a8d\u81ea\u5df1\u5c0d\u4ee3\u6578\u62d3\u64b2\u4e0d\u719f\uff0c\u56e0\u6b64\u4f7f\u7528 GPT-5 \u548c Claude Opus \u7b49 AI \u5de5\u5177\u4f86\u5b78\u7fd2\u4e26\u751f\u6210\u4ee3\u78bc\uff0c\u5171\u540c\u63a2\u7d22\u6982\u5ff5\u3002<\/p>\n\n\n\n<p>\u5f71\u7247\u7684\u6838\u5fc3\u662f\u4f7f\u7528\u6301\u4e45\u540c\u8abf\u4f86\u5206\u6790\u4f4d\u5143\u7d44\u5e8f\u5217\uff0c\u5c07\u4f4d\u5143\u7d44\u8996\u70ba\u9ad8\u7dad\u7a7a\u9593\u4e2d\u7684\u9ede\uff08dots\uff09\uff0c\u4e26\u89c0\u5bdf\u5b83\u5011\u5728\u4e0d\u540c\u5c3a\u5ea6\u4e0b\u7684\u9023\u63a5\u6a21\u5f0f\uff08\u5982\u53e2\u96c6\u3001\u5faa\u74b0\u3001\u7a7a\u6d1e\uff09\u3002\u9019\u80fd\u63ed\u793a\u96b1\u85cf\u7d50\u69cb\uff0c\u4f8b\u5982\u7981\u6b62\u7684\u4f4d\u5143\u7d44\u7d44\u5408\uff08forbidden combinations\uff09\uff0c\u9032\u800c\u6539\u5584 LLM \u548c\u8996\u89ba\u8a9e\u8a00\u6a21\u578b\u7684\u8a2d\u8a08\uff0c\u8b93 AI \u76f4\u63a5\u751f\u6210\u4f4d\u5143\u7d44\u3001\u66f4\u5177\u8868\u9054\u529b\u548c\u7406\u89e3\u529b\u3002<\/p>\n\n\n\n<p>\u8b1b\u8005\u63d0\u5230\u5148\u524d\u4e00\u7cfb\u5217\u5f71\u7247\uff084 \u90e8\uff0c\u898b\u64ad\u653e\u6e05\u55ae\uff09\u5617\u8a66\u7528\u4f4d\u5143\u7d44\u53d6\u4ee3 token\uff0c\u4f46\u65b9\u5f0f\u8f03\u300c\u5929\u771f\u300d\uff08naive\uff09\uff0c\u5982\u6839\u64da\u9810\u6e2c\u96e3\u5ea6\u5206\u7d44\u4f4d\u5143\u7d44\u3002\u73fe\u5728\u5247\u5f15\u5165\u62d3\u64b2\u5206\u6790\uff0c\u8996\u70ba\u5347\u7d1a\u7248\u3002\u5f71\u7247\u7d50\u675f\u6642\u9810\u544a\u7b2c\u4e8c\u96c6\u5c07\u7e7c\u7e8c\u63a2\u7d22\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u95dc\u9375\u6982\u5ff5\u8a73\u7d30\u89e3\u91cb<\/h4>\n\n\n\n<p>\u5f71\u7247\u8a73\u7d30\u4ecb\u7d39\u4ee5\u4e0b\u6838\u5fc3\u6982\u5ff5\uff0c\u4f7f\u7528\u6bd4\u55bb\u548c\u6b65\u9a5f\u89e3\u8aaa\uff0c\u8b93\u975e\u5c08\u5bb6\u4e5f\u80fd\u8ddf\u4e0a\u3002\u4ee5\u4e0b\u5206\u9ede\u8aaa\u660e\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u76f4\u63a5\u8f38\u5165\u539f\u59cb\u4f4d\u5143\u7d44\u5230 LLM<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u50b3\u7d71 LLM \u4f7f\u7528 tokenization \u5c07\u6587\u5b57\u8f49\u70ba token\uff0c\u4f46\u9019\u53ef\u80fd\u4e1f\u5931\u7d30\u5fae\u7d50\u69cb\u3002\u8b1b\u8005\u4e3b\u5f35\u76f4\u63a5\u8f38\u5165\u4f4d\u5143\u7d44\uff08bytes\uff0c0-255 \u503c\uff09\uff0c\u56e0\u70ba\u5b83\u662f\u6578\u4f4d\u4e16\u754c\u7684\u300c\u6700\u4f4e\u5171\u540c\u5206\u6bcd\u300d\uff08lowest common denominator\uff09\u3002<\/li>\n\n\n\n<li>\u512a\u9ede\uff1a\u80fd\u7d71\u4e00\u8655\u7406\u6587\u5b57\u3001\u5f71\u50cf\u3001\u5f71\u7247\u7b49\u6a21\u614b\uff1b\u5b78\u7fd2\u4f4d\u5143\u7d44\u7684\u4f4d\u7f6e\u6a21\u5f0f\uff08\u5982\u6587\u5b57\u4e2d\u67d0\u4e9b\u7d44\u5408\u4e0d\u53ef\u80fd\u51fa\u73fe\uff09\uff1b\u8a2d\u8a08\u66f4\u597d\u7684 AI \u6a21\u578b\uff0c\u76f4\u63a5\u751f\u6210\u4f4d\u5143\u7d44\u800c\u7121\u9700\u8f49\u63db\u3002<\/li>\n\n\n\n<li>\u4f8b\u5982\uff0c\u5c07\u6587\u5b57\u5206\u5272\u6210 4 \u4f4d\u5143\u7d44\u7fa4\u7d44\uff0c\u6bcf\u7fa4\u8996\u70ba 4 \u7dad\u7a7a\u9593\u4e2d\u7684\u4e00\u9ede\uff08coordinates \u5f9e 0-255\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u4ee3\u6578\u62d3\u64b2\u8207\u6301\u4e45\u540c\u8abf\uff08Algebraic Topology &amp; Persistent Homology\uff09<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u6bd4\u55bb<\/strong>\uff1a\u60f3\u50cf\u4f4d\u5143\u7d44\u5e8f\u5217\u5982\u591c\u7a7a\u4e2d\u7684\u661f\u661f\uff08constellation\uff09\u3002\u6301\u4e45\u540c\u8abf\u5c31\u50cf\u7cfb\u7d71\u6027\u5730\u9023\u63a5\u9644\u8fd1\u661f\u661f\uff0c\u89c0\u5bdf\u5728\u4e0d\u540c\u8ddd\u96e2\uff08scales\uff09\u4e0b\u5f62\u6210\u7684\u6a21\u5f0f\uff08\u5982\u4e09\u89d2\u5f62\u3001\u5faa\u74b0\uff09\uff0c\u4e26\u8ffd\u8e64\u54ea\u4e9b\u6a21\u5f0f\u300c\u6301\u7e8c\u300d\uff08persist\uff09\u3002<\/li>\n\n\n\n<li><strong>\u6b65\u9a5f<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u5c07\u4f4d\u5143\u7d44\u8f49\u70ba\u9ad8\u7dad\u7a7a\u9593\u4e2d\u7684\u9ede\u3002<\/li>\n\n\n\n<li>\u570d\u7e5e\u6bcf\u500b\u9ede\u6210\u9577\u7403\u9ad4\uff08spheres\uff09\uff0c\u89c0\u5bdf\u4f55\u6642\u91cd\u758a\uff08overlap\uff09\u3001\u5f62\u6210\u5faa\u74b0\uff08loops\uff09\u3001\u53e2\u96c6\uff08clusters\uff09\u6216\u7a7a\u6d1e\uff08voids\uff09\u3002<\/li>\n\n\n\n<li>\u8ffd\u8e64\u7279\u5fb5\u7684\u300c\u51fa\u751f\u300d\uff08birth\uff09\u548c\u300c\u6b7b\u4ea1\u300d\uff08death\uff09\uff1a\u51fa\u751f\u6642\u7279\u5fb5\u51fa\u73fe\uff0c\u6b7b\u4ea1\u6642\u88ab\u5408\u4f75\u6216\u586b\u88dc\u3002\u6301\u7e8c\u6027\uff08persistence\uff09= \u6b7b\u4ea1 &#8211; \u51fa\u751f\uff0c\u8861\u91cf\u6a21\u5f0f\u5f37\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u7dad\u5ea6\u89e3\u91cb<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u7dad\u5ea6 0\uff08Connected Components\uff09<\/strong>\uff1a\u53e2\u96c6\u6216\u5206\u96e2\u7fa4\u7d44\uff08\u5982\u661f\u661f\u7fa4\uff09\u3002\u4f8b\u5982\uff0c\u8d77\u59cb\u6642\u6bcf\u500b\u9ede\u7368\u7acb\uff0c\u7403\u9ad4\u6210\u9577\u5f8c\u5408\u4f75\u6210\u7fa4\u3002<\/li>\n\n\n\n<li><strong>\u7dad\u5ea6 1\uff08Loops\uff09<\/strong>\uff1a\u5faa\u74b0\u6216\u5708\uff08\u5982\u4e09\u89d2\u5f62\u9023\u63a5\u5f62\u6210\u5b54\u6d1e\uff09\u3002\u4ee3\u8868\u5faa\u74b0\u6a21\u5f0f\uff0c\u5982\u6587\u5b57\u4e2d\u91cd\u8907\u8a5e\u5f59\uff08\u5982 &#8220;the&#8221;\uff09\u5275\u9020\u591a\u689d\u8def\u5f91\u3002<\/li>\n\n\n\n<li><strong>\u7dad\u5ea6 2\uff08Voids\uff09<\/strong>\uff1a\u9ad8\u7dad\u7a7a\u6d1e\uff08\u5982\u4e2d\u7a7a\u7403\u9ad4\uff09\u3002\u4ee3\u8868\u300c\u7981\u6b62\u5340\u57df\u300d\uff0c\u5982\u67d0\u4e9b\u4f4d\u5143\u7d44\u7d44\u5408\u5f9e\u672a\u51fa\u73fe\uff08forbidden combinations\uff09\uff0c\u5982\u6587\u5b57\u4e2d\u7121\u7a7a\u683c\u7684\u6a19\u9ede\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6d1e\u5bdf<\/strong>\uff1a\u9019\u4e9b\u62d3\u64b2\u7279\u5fb5\u63ed\u793a\u50b3\u7d71\u5e8f\u5217\u6a21\u578b\uff08\u5982\u7dda\u6027\u6a21\u578b\uff09\u5ffd\u7565\u7684\u7d50\u69cb\u3002\u96a8\u6a5f\u8cc7\u6599\u7522\u751f\u591a\u4f46\u77ed\u66ab\u7684\u7279\u5fb5\uff08noise\uff09\uff0c\u7d50\u69cb\u5316\u8cc7\u6599\uff08\u5982\u6587\u5b57\uff09\u7522\u751f\u5c11\u4f46\u6301\u4e45\u7684\u7279\u5fb5\uff0c\u4ee3\u8868\u6709\u610f\u7fa9\u6a21\u5f0f\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5d4c\u5165\u65b9\u6cd5\uff08Embedding Methods\uff09<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u5c07\u4f4d\u5143\u7d44\u5e8f\u5217\u8f49\u70ba\u5e7e\u4f55\u7a7a\u9593\u7684\u4e09\u7a2e\u65b9\u5f0f\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u6ed1\u52d5\u8996\u7a97\u5d4c\u5165\uff08Sliding Window\uff09<\/strong>\uff1a\u91cd\u758a\u8996\u7a97\uff08\u5982\u4f4d\u5143\u7d44 1-4\u30012-5\uff09\uff0c\u9069\u5408\u5075\u6e2c\u5c40\u90e8\u6a21\u5f0f\u3002<\/li>\n\n\n\n<li><strong>\u5ef6\u9072\u5d4c\u5165\uff08Delay Embedding\uff09<\/strong>\uff1a\u6bcf\u9694\u5e7e\u4f4d\u53d6\u6a23\uff08\u5982 i, i+2, i+4\uff09\uff0c\u9069\u5408\u5075\u6e2c\u9031\u671f\u6a21\u5f0f\u3002<\/li>\n\n\n\n<li><strong>\u983b\u7387\u5d4c\u5165\uff08Frequency Embedding\uff09<\/strong>\uff1a\u8a08\u7b97\u5c40\u90e8\u9130\u57df\u7684\u4f4d\u5143\u7d44\u983b\u7387\uff0c\u8f49\u70ba 32 \u7dad\u5411\u91cf\uff0c\u9069\u5408\u7d71\u8a08\u6a21\u5f0f\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u8a08\u7b97\u9ede\u9593\u8ddd\u96e2\uff08\u6b50\u5e7e\u91cc\u5fb7\u8ddd\u96e2\u3001\u6f22\u660e\u8ddd\u96e2\u7b49\uff09\uff0c\u7528\u65bc\u62d3\u64b2\u5206\u6790\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u904e\u6ffe\u8207\u6301\u7e8c\u540c\u8abf\u8a08\u7b97<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u5efa\u69cb\u904e\u6ffe\uff08filtration\uff09\uff1a\u9010\u6f38\u589e\u52a0\u9023\u63a5\u8ddd\u96e2\uff0c\u89c0\u5bdf\u5f62\u72c0\u8b8a\u5316\u3002<\/li>\n\n\n\n<li>\u4f7f\u7528 Claude Opus \u751f\u6210\u4ee3\u78bc\uff0c\u5206\u6790\u8ddd\u96e2\u77e9\u9663\u4e26\u8a08\u7b97\u6301\u7e8c\u540c\u8abf\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">\u5f71\u7247\u4e2d\u7684\u4f8b\u5b50\u8207\u5206\u6790<\/h4>\n\n\n\n<p>\u8b1b\u8005\u4f7f\u7528\u591a\u7a2e\u8cc7\u6599\u985e\u578b\u793a\u7bc4\uff0c\u8a08\u7b97\u50b3\u7d71\u7d71\u8a08\uff08\u5982\u9577\u5ea6\u3001\u552f\u4e00\u4f4d\u5143\u7d44\u3001\u71b5\u3001\u81ea\u6211\u76f8\u95dc\u6027\uff09\u5f8c\uff0c\u518d\u61c9\u7528\u62d3\u64b2\u5206\u6790\u3002\u4ee5\u4e0b\u8868\u683c\u7e3d\u7d50\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>\u8cc7\u6599\u985e\u578b<\/th><th>\u63cf\u8ff0<\/th><th>\u50b3\u7d71\u7d71\u8a08<\/th><th>\u62d3\u64b2\u6d1e\u5bdf<\/th><\/tr><\/thead><tbody><tr><td><strong>\u6587\u5b57\u6a23\u672c<\/strong> (&#8220;the quick brown fox jumps over a lazy dog&#8221; \u91cd\u8907\u4e09\u6b21)<\/td><td>\u771f\u5be6\u4e16\u754c\u6587\u5b57\uff0c\u9577\u5ea6 135 \u4f4d\u5143\u7d44\u3002<\/td><td>\u552f\u4e00\u4f4d\u5143\u7d44\uff1a29\/256\uff1b\u71b5\uff1a4.44 \u4f4d\u5143\uff08\u4e2d\u5ea6\u96a8\u6a5f\uff09\uff1b\u81ea\u6211\u76f8\u95dc\u6027\uff1a0.26\uff08\u4f4e\u91cd\u8907\uff09\u3002<\/td><td>\u7dad\u5ea6 0\uff1a44 \u7279\u5fb5\uff08\u53e2\u96c6\uff09\uff0c\u6700\u5927\u6301\u7e8c\u6027 69.325\uff08\u5f37\u7fa4\u7d44\uff09\uff1b\u7dad\u5ea6 1\uff1a11 \u5faa\u74b0\uff08\u4f86\u81ea\u91cd\u8907\u5982 &#8220;the&#8221;\uff09\uff1b\u7dad\u5ea6 2\uff1a\u5c11\u6578\u7a7a\u6d1e\uff08\u7981\u6b62\u7d44\u5408\uff0c\u5982\u7121\u7a7a\u683c\u6a19\u9ede\uff09\u3002\u63ed\u793a\u8a9e\u6cd5\u7d50\u69cb\u3002<\/td><\/tr><tr><td><strong>\u91cd\u8907\u6a21\u5f0f<\/strong> (\u5982 65,66,67,68 \u91cd\u8907)<\/td><td>\u58d3\u7e2e\u6216\u7d50\u69cb\u5316\u8cc7\u6599\u3002<\/td><td>\u9ad8\u81ea\u6211\u76f8\u95dc\u6027\uff080.98\uff09\u3002<\/td><td>\u7522\u751f\u5faa\u74b0\uff08loops\uff09\uff0c\u6301\u7e8c\u7279\u5fb5\u5f37\uff08\u9810\u671f\u7d50\u69cb\uff09\u3002<\/td><\/tr><tr><td><strong>\u96a8\u6a5f\u4f4d\u5143\u7d44<\/strong><\/td><td>\u5b8c\u5168\u96a8\u6a5f\uff0c\u4ee3\u8868\u566a\u97f3\u3002<\/td><td>\u9ad8\u71b5\uff1b\u4f4e\u81ea\u6211\u76f8\u95dc\u6027\uff080.20\uff09\u3002<\/td><td>\u7dad\u5ea6 0\uff1a121 \u7279\u5fb5\uff0c\u6700\u5927\u6301\u7e8c\u6027 117\uff1b\u7dad\u5ea6 1\uff1a\u591a\u5faa\u74b0\u4f46\u77ed\u66ab\uff1b\u7dad\u5ea6 2\uff1a14 \u7a7a\u6d1e\uff08\u96a8\u6a5f\u566a\u97f3\uff0c\u975e\u6709\u610f\u7fa9\uff09\u3002<\/td><\/tr><tr><td><strong>\u5e36\u982d\u90e8\u8cc7\u6599<\/strong> (\u6a21\u64ec JPEG \u982d\u90e8 + \u5167\u5bb9)<\/td><td>\u6a94\u6848\u683c\u5f0f\u6a21\u64ec\u3002<\/td><td>\u4e2d\u5ea6\u7d50\u69cb\u3002<\/td><td>\u5340\u5206\u982d\u90e8\u8207\u5167\u5bb9\uff0c\u63ed\u793a\u6df7\u5408\u6a21\u5f0f\u3002<\/td><\/tr><tr><td><strong>\u6f38\u8b8a\u6a21\u5f0f<\/strong> (\u5e73\u6ed1\u6b63\u5f26\u6ce2)<\/td><td>\u9023\u7e8c\u8f49\u63db\u3002<\/td><td>\u5e73\u6ed1\u8f49\u63db\u3002<\/td><td>\u6301\u7e8c\u62d3\u64b2\u7279\u5fb5\uff0c\u4ee3\u8868\u9023\u7e8c\u7d50\u69cb\u3002<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u5206\u6790\u986f\u793a\uff0c\u7d50\u69cb\u5316\u8cc7\u6599\uff08\u5982\u6587\u5b57\uff09\u6709\u5c11\u4f46\u6301\u4e45\u7684\u7279\u5fb5\uff0c\u96a8\u6a5f\u8cc7\u6599\u6709\u8a31\u591a\u77ed\u66ab\u7279\u5fb5\u3002\u7a7a\u6d1e\u4ee3\u8868\u7981\u6b62\u7d44\u5408\uff08\u5982\u6587\u5b57\u4e2d\u7121\u67d0\u4e9b\u8a5e\u5f59\u914d\u5c0d\uff09\uff0c\u53ef\u7528\u65bc\u9810\u6e2c\u898f\u5247\uff0c\u63d0\u5347 AI \u7406\u89e3\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u7d50\u8ad6\u8207\u555f\u767c<\/h4>\n\n\n\n<p>\u9019\u90e8\u5f71\u7247\u662f AI \u5275\u65b0\u63a2\u8a0e\u7684\u5165\u9580\uff0c\u5f37\u8abf\u62d3\u64b2\u5206\u6790\u80fd\u63ed\u793a\u4f4d\u5143\u7d44\u7684\u96b1\u85cf\u5f62\u72c0\uff0c\u6f5b\u5728\u6539\u8b8a LLM \u8a2d\u8a08\uff08\u5982\u66f4\u6709\u6548\u7684\u591a\u6a21\u614b\u878d\u5408\uff09\u3002\u8b1b\u8005\u5f37\u8abf AI \u5de5\u5177\uff08\u5982 Claude Opus\uff09\u7684\u5e6b\u52a9\uff0c\u8b93\u521d\u5b78\u8005\u4e5f\u80fd\u53c3\u8207\u3002\u9069\u5408\u5c0d AI\u3001\u62d3\u64b2\u8cc7\u6599\u5206\u6790\u611f\u8208\u8da3\u7684\u89c0\u773e\u89c0\u770b\uff0c\u5efa\u8b70\u642d\u914d Colab \u904b\u884c\u4ee3\u78bc\u4ee5\u52a0\u6df1\u7406\u89e3\u3002\u9810\u544a\u7b2c\u4e8c\u96c6\u5c07\u7e7c\u7e8c\u8a0e\u8ad6\u61c9\u7528\u5230 LLM \u7684\u7d30\u7bc0\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u9019\u662f AI \u9818\u57df\u7684\u300c\u79d8\u5bc6\u7a81\u7834\u300d\uff0c\u50c5\u6709\u9802\u5c16 0.1% \u7684\u7814\u7a76\u8005\u77e5\u66c9\uff1a\u76f4\u63a5\u5c07\u539f\u59cb\u4f4d\u5143\u7d44\uff08raw bytes\uff09\u8f38\u5165\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff08LLMs\uff09\uff0c\u4e26\u4f7f\u7528\u4ee3\u6578\u62d3\u64b2\uff08algebraic topology\uff09\u5206\u6790\uff0c\u900f\u904e\u6301\u4e45\u540c\u8abf\uff08persistent homology\uff09\u63ed\u793a\u50b3\u7d71\u6a21\u578b\u7121\u6cd5\u5bdf\u89ba\u7684\u96b1\u85cf\u8cc7\u6599\u7d50\u69cb\u3002\u9019\u53ef\u80fd\u6539\u8b8a AI \u8655\u7406\u591a\u6a21\u614b\u8cc7\u6599\uff08\u5982\u6587\u5b57\u3001\u5f71\u50cf\u3001\u5f71\u7247\uff09\u7684\u672a\u4f86\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowvqSiDA:productID":"","footnotes":""},"categories":[131,150,27,160,146],"tags":[],"class_list":["post-6150","post","type-post","status-publish","format-standard","hentry","category-embedding","category-150","category-paper","category-160","category-146"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/6150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=6150"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/6150\/revisions"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=6150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=6150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=6150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}