{"id":28489,"date":"2025-02-11T20:54:21","date_gmt":"2025-02-11T12:54:21","guid":{"rendered":"https:\/\/www.1ai.net\/?p=28489"},"modified":"2025-02-11T20:54:21","modified_gmt":"2025-02-11T12:54:21","slug":"ibm-%e4%bc%81%e4%b8%9a%e7%ba%a7-ai%e5%bc%80%e5%8f%91%e5%b9%b3%e5%8f%b0-watsonx-ai-%e4%b8%8a%e7%ba%bf-deepseek-r1-%e8%92%b8%e9%a6%8f%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/28489.html","title":{"rendered":"IBM Enterprise AI Development Platform watsonx.ai Goes Online with DeepSeek R1 Distillation Model"},"content":{"rendered":"<p>2 \u6708 11 \u65e5\u6d88\u606f\uff0c<a href=\"https:\/\/www.1ai.net\/en\/tag\/ibm\" title=\"\u3010\u67e5\u770b\u542b\u6709[IBM]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">IBM<\/a> \u65e5\u524d\u5ba3\u5e03\uff0c<strong><a href=\"https:\/\/www.1ai.net\/en\/tag\/deepseek\" title=\"\u3010\u67e5\u770b\u542b\u6709[DeepSeek]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">DeepSeek<\/a>-R1 \u84b8\u998f\u7248 Llama 3.1 8B \u548c Llama 3.3 70B<\/strong><strong>\u00a0<\/strong>\u73b0\u5df2\u4e0a\u7ebf IBM \u7684\u4f01\u4e1a\u7ea7 AI \u5f00\u53d1\u5e73\u53f0\u00a0watsonx.ai\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-28490\" title=\"bd1d5bbcj00srirta0061d000v900kgp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/02\/bd1d5bbcj00srirta0061d000v900kgp.jpg\" alt=\"bd1d5bbcj00srirta0061d000v900kgp\" width=\"1125\" height=\"736\" \/><\/p>\n<p>\u6839\u636e\u5b98\u65b9\u4ecb\u7ecd\uff0cDeepSeek \u8fd8\u501f\u52a9\u77e5\u8bc6\u84b8\u998f\u6280\u672f\uff0c\u5229\u7528 R1 \u6a21\u578b\u751f\u6210\u7684\u6570\u636e\u4f18\u5316\u4e86\u591a\u4e2a Llama \u548c Qwen \u53d8\u4f53\u3002\u7528\u6237\u53ef\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5728\u00a0watsonx.ai\u00a0\u4e0a\u4f7f\u7528 DeepSeek \u84b8\u998f\u6a21\u578b\uff1a<\/p>\n<ul>\n<li>\u5728\u00a0watsonx.ai\u00a0\u7684\u201c\u6309\u9700\u90e8\u7f72\u201d\u76ee\u5f55\u4e2d\uff0cIBM \u63d0\u4f9b Llama \u84b8\u998f\u7248\uff0c\u7528\u6237\u53ef\u4ee5\u90e8\u7f72\u4e13\u7528\u5b9e\u4f8b\u4ee5\u8fdb\u884c\u5b89\u5168\u63a8\u7406\u3002<\/li>\n<li>\u7528\u6237\u8fd8\u53ef\u901a\u8fc7\u201c\u81ea\u5b9a\u4e49\u57fa\u7840\u6a21\u578b\u201d\u5bfc\u5165\u529f\u80fd\uff0c\u4e0a\u4f20 DeepSeek-R1 \u5176\u4ed6\u53d8\u4f53\uff0c\u4f8b\u5982 Qwen \u84b8\u998f\u6a21\u578b\u3002<\/li>\n<\/ul>\n<p>DeepSeek-R1 \u5177\u5907\u5f3a\u5927\u7684\u63a8\u7406\u80fd\u529b\uff0c\u9002\u7528\u4e8e\u591a\u4e2a\u9886\u57df\uff1a<\/p>\n<ul>\n<li><strong>\u89c4\u5212<\/strong>\uff1a\u5176\u201c\u94fe\u5f0f\u601d\u7ef4\u201d\u903b\u8f91\u6709\u52a9\u4e8e\u5904\u7406\u9700\u8981\u9010\u6b65\u63a8\u7406\u7684\u4efb\u52a1\uff0c\u7279\u522b\u9002\u5408\u667a\u80fd\u4f53\uff08agentic\uff09\u5e94\u7528\u3002<\/li>\n<li><strong>\u7f16\u7a0b<\/strong>\uff1a\u53ef\u7528\u4e8e\u4ee3\u7801\u751f\u6210\u3001\u8c03\u8bd5\u548c\u4f18\u5316\uff0c\u63d0\u5347\u5f00\u53d1\u6548\u7387\u3002<\/li>\n<li><strong>\u6570\u5b66\u95ee\u9898\u6c42\u89e3<\/strong>\uff1a\u5177\u5907\u5904\u7406\u590d\u6742\u6570\u5b66\u95ee\u9898\u7684\u80fd\u529b\uff0c\u5728\u79d1\u7814\u3001\u5de5\u7a0b\u548c\u79d1\u5b66\u8ba1\u7b97\u7b49\u9886\u57df\u8868\u73b0\u7a81\u51fa\u3002<\/li>\n<\/ul>\n<p>\u5f00\u53d1\u8005\u53ef\u5728\u00a0watsonx.ai\u00a0\u4e0a\u5229\u7528 DeepSeek-R1 \u8fdb\u884c AI \u89e3\u51b3\u65b9\u6848\u5f00\u53d1\uff0c\u5e76\u4f7f\u7528\u4ee5\u4e0b\u89e3\u51b3\u65b9\u6848\u80fd\u529b\uff1a<\/p>\n<ul>\n<li>\u76f4\u89c2\u6d4b\u8bd5\u548c\u8bc4\u4f30\u6a21\u578b\u8f93\u51fa<\/li>\n<li>\u901a\u8fc7\u8fde\u63a5\u5411\u91cf\u6570\u636e\u5e93\u548c\u5d4c\u5165\u6a21\u578b\u6784\u5efa RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u7ba1\u9053<\/li>\n<li>\u652f\u6301 LangChain\u3001CrewAI \u7b49\u4e3b\u6d41 AI \u6846\u67b6<\/li>\n<\/ul>\n<p>IBM\u00a0watsonx.ai\u00a0\u63d0\u4f9b\u7075\u6d3b\u7684\u5f00\u6e90\u6a21\u578b\u5b9a\u5236\u9009\u9879\uff0c\u652f\u6301 DeepSeek-R1 \u5728\u4e0d\u540c\u73af\u5883\u4e0b\u7684\u90e8\u7f72\uff0c\u5e76\u7b80\u5316\u667a\u80fd\u4f53\u5f00\u53d1\u3001\u5fae\u8c03\u3001RAG\u3001\u63d0\u793a\u5de5\u7a0b\u7b49\u5de5\u4f5c\u6d41\u3002\u6b64\u5916\uff0cwatsonx.ai\u00a0\u5185\u7f6e\u5b89\u5168\u673a\u5236\uff0c\u4fdd\u969c\u7528\u6237\u5e94\u7528\u7684\u5b89\u5168\u6027\u3002<\/p>\n<p>\u636e1AI\u6b64\u524d\u62a5\u9053\uff0cIBM \u9996\u5e2d\u6267\u884c\u5b98\u672c\u6708\u521d\u66fe\u53d1\u8868\u957f\u6587\u79f0\uff0c\u4ed6\u4eec\uff08DeepSeek\uff09\u4ec5\u7528\u7ea6 2000 \u679a\u82f1\u4f1f\u8fbe\u82af\u7247\uff0c\u4ee5\u5927\u7ea6 600 \u4e07\u7f8e\u5143\u7684\u6210\u672c\u8bad\u7ec3\u4e86\u6700\u65b0\u7684\u6a21\u578b\uff0c\u8fdc\u4f4e\u4e8e\u884c\u4e1a\u9884\u671f\u3002\u8fd9\u518d\u6b21\u8bc1\u660e\uff0c<strong>\u5c0f\u578b\u3001\u9ad8\u6548\u7684\u6a21\u578b\u4e5f\u80fd\u5e26\u6765\u5b9e\u9645\u6210\u679c<\/strong>\uff0c\u65e0\u9700\u4f9d\u8d56\u5e9e\u5927\u800c\u6602\u8d35\u7684\u4e13\u6709\u7cfb\u7edf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>February 11, IBM has announced that DeepSeek-R1 distillation versions of Llama 3.1 8B and Llama 3.3 70B are now available on IBM's enterprise AI development platform, watsonx.ai. According to the official introduction, DeepSeek has also leveraged knowledge distillation to optimize multiple Llama and Qwen variants with data generated from the R1 model. Qwen variants using data generated from the R1 model. Users can use DeepSeek distillation models on watsonx.ai in the following ways: In the \"Deploy on Demand\" directory of watsonx.ai, IBM offers a distillation version of Llama, which allows users to deploy a dedicated instance for secure inference.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[5687,3606,373,2720],"collection":[],"class_list":["post-28489","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-deepseek","tag-ibm","tag-watsonx"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/28489","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=28489"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/28489\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=28489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=28489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=28489"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=28489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}