[{"data":1,"prerenderedAt":375},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fgy6wHNxBThEO0WQSUuXK7OlTpsUA7rk9b1rmpfUSBks":245,"article-316":374},{"code":4,"msg":5,"data":6},0,"",{"category":7,"tag":11,"popular":19,"latest":86,"banner":126,"list":151,"cache":244},[8,9,10],"Agent","OpenAI","LLM",[8,12,13,14,9,10,15,16,17,18],"Google","Nvidia","Claude","DeepSeek","OCR","Chat","Generator",[20,29,37,45,54,62,70,79],{"id":21,"publish_date":22,"is_original":23,"collection":5,"cover_url":24,"cover_url_1_1":25,"title":26,"summary":27,"author":28},411,"2023-09-10",1,"article_res/cover/451ef50c225a8dc61c4336506794d13b.jpeg","article_res/cover/3ba9dc7a72f87d40b20fc2d225289ee3.jpeg","Idealism","Reality is created by the mind, we can change our reality by changing our mind. - Plato","Renee's Entrepreneurial Journey",{"id":30,"publish_date":31,"is_original":23,"collection":32,"cover_url":33,"cover_url_1_1":34,"title":35,"summary":36,"author":28},108,"2024-12-07","#LLM #AGI #AI Agent","article_res/cover/0039044422e4ec9f61c18e8ee1693bb0.jpeg","article_res/cover/4220971b108a91d21407d87bb02fbaa6.jpeg","Freysa.ai: The World's First Adversarial AI Agent Game","说服 Freysa 把钱包里的钱都拿出来",{"id":38,"publish_date":39,"is_original":23,"collection":40,"cover_url":41,"cover_url_1_1":42,"title":43,"summary":44,"author":28},12,"2025-03-09","#Oxford #Reasoning #LLM #Tool Use","article_res/cover/d448e9b3617a0b5302e1bd10c438bca9.jpeg","article_res/cover/864a468f9cc4c9317efadb3811909888.jpeg","Agentic Reasoning Framework - Significantly enhance the reasoning ability of LLMs through the integration of external tools using agents","Agentic Reasoning: Reasoning LLMs with Tools for Deep Research",{"id":46,"publish_date":47,"is_original":4,"collection":48,"cover_url":49,"cover_url_1_1":50,"title":51,"summary":52,"author":53},480,"2023-04-14","#Stable Diffusion","article_res/cover/0bdbe7cb1de4a78e54536e5d9afa7ec9.jpeg","article_res/cover/b3d6ffec0608dcfaf18c5a69906d1490.jpeg","【AIGC Learning】Generate Prompts Using Word Graphs - Stable Diffusion Web UI Series 13","AI will become a powerful tool in education, transforming the way we learn and deliver instruction.  \n- Reid Hoffman","--",{"id":55,"publish_date":56,"is_original":4,"collection":57,"cover_url":58,"cover_url_1_1":59,"title":60,"summary":61,"author":28},413,"2023-09-08","#Neuroscience","article_res/cover/74f8302d78a23d9430f22171eae136b6.jpeg","article_res/cover/87ca08af81bb304746be5261160964c0.jpeg","Can machines be conscious?","Do we have an ethical obligation to not turn off conscious machines? Would turning them off be murder? No. I don't lose any sleep over unplugging a conscious machine.\n- Jeff Hawkins, \"A Thousand Brains\"",{"id":63,"publish_date":64,"is_original":23,"collection":65,"cover_url":66,"cover_url_1_1":67,"title":68,"summary":69,"author":28},178,"2024-09-09","#Entrepreneurship","article_res/cover/a7224f025b55d1820408085faef63079.jpeg","article_res/cover/11a9995b096cbf64465ef01b8673b154.jpeg","37signals company","This damn sense of relaxation",{"id":71,"publish_date":72,"is_original":4,"collection":73,"cover_url":74,"cover_url_1_1":75,"title":76,"summary":77,"author":78},460,"2023-05-12","#Google","article_res/cover/b970687b12faa52da976f91248c2aa7b.jpeg","article_res/cover/d1e71b52cfd2c63bc6e71f3e85ff135c.jpeg","Learn what BRC-20 and Ordinals are using Google Bard","Ordinals - a new protocol that allows users to store arbitrary data on the Bitcoin blockchain","Google Bard mainly writes",{"id":80,"publish_date":81,"is_original":23,"collection":5,"cover_url":82,"cover_url_1_1":83,"title":84,"summary":85,"author":28},309,"2024-03-26","article_res/cover/9877f95894ee88532d0e6012c23a2df3.jpeg","article_res/cover/20092164ddc109ce6ae56b1984246751.jpeg","Learning the Cancun Upgrade with lepton and perplexity","Building a quick conversation-based search demo with Lepton AI.",[87,95,103,111,119],{"id":88,"publish_date":89,"is_original":23,"collection":90,"cover_url":91,"cover_url_1_1":92,"title":93,"summary":94,"author":28},627,"2025-03-20","#AI Avatar #AI Video Generation","article_res/cover/d95481358f73924989f8c4ee9c75d1c8.jpeg","article_res/cover/b74bc0fab01f8b6a6aa87696c0c3ed8b.jpeg","DisPose: Generating Animated Videos by Driving Video with Reference Images","DisPose is a controllable human image animation method that enhances video generation.",{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},626,"2025-03-21","#Deep Dive into LLMs #LLM #RL #Andrej Karpathy #AlphaGo","article_res/cover/446553a5c8f8f2f07d97b20eaee84e56.jpeg","article_res/cover/e6c2823409c9b34624064b9acbaca6f1.jpeg","AlphaGo and the Power of Reinforcement Learning - Andrej Karpathy's Deep Dive on LLMs (Part 9)","Simply learning from humans will never surpass human capabilities.",{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},625,"2025-03-22","#Deep Dive into LLMs #LLM #RL #RLHF #Andrej Karpathy","article_res/cover/8da81d38b1e5cf558a164710fd8a5389.jpeg","article_res/cover/96f028d76c362a99a0dd56389e8f7a9b.jpeg","Reinforcement Learning from Human Feedback (RLHF) - Andrej Karpathy's Deep Dive on LLMs (Part 10)","Fine-Tuning Language Models from Human Preferences",{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},624,"2025-03-23","#Deep Dive into LLMs #LLM #Andrej Karpathy #AI Agent #MMM","article_res/cover/a5e7c3d48bb09109684d6513287c661d.jpeg","article_res/cover/d3f22b7c0ab8d82fd2da457a299e0773.jpeg","The Future of Large Language Models - Andrej Karpathy's In-Depth Explanation of LLM (Part 11)","preview of things to come",{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},623,"#Google #Voe #AI Video Generation","article_res/cover/c44062fea0f336c2b96b3928292392c2.jpeg","article_res/cover/a041041c69092ad3db191c5bf3ff981b.jpeg","Trial of Google's video generation model VOE2","Our state-of-the-art video generation model",[127,135,143],{"id":128,"publish_date":129,"is_original":23,"collection":130,"cover_url":131,"cover_url_1_1":132,"title":133,"summary":134,"author":28},300,"2024-04-16","#AI in Science #AGI","article_res/cover/6bf01e793e0f33e848572412eebdf9b0.jpeg","article_res/cover/91a5ee21dafecb914fabeb9430d46ec1.jpeg","Would Einstein lose his job - AI and Quantum Computing: A Glimpse into the Near Future","So Einstein's job is still safe.",{"id":136,"publish_date":137,"is_original":23,"collection":138,"cover_url":139,"cover_url_1_1":140,"title":141,"summary":142,"author":28},101,"2024-12-14","#Nvidia #AI 3D Generator","article_res/cover/693e07c85980c5c0c8fde3f037733f23.jpeg","article_res/cover/9ea8edff2d5d303ff3fffff3f6f9c3d9.jpeg","NVIDIA's open-source 3D project LLaMA-Mesh","LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models",{"id":144,"publish_date":145,"is_original":23,"collection":146,"cover_url":147,"cover_url_1_1":148,"title":149,"summary":150,"author":28},131,"2024-11-10","#OpenAI","article_res/cover/87f8ed353ce39f31960e7cdfaf075a35.jpeg","article_res/cover/f597a63935f5cd32e484b4aadd6019e8.jpeg","ChatGPT has launched the Search function","Get fast, timely answers with links to relevant web sources.",{"big":152,"small":214},[153,181],{"title":154,"list":155},"AGENT",[156,157,165,173],{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":158,"publish_date":159,"is_original":23,"collection":160,"cover_url":161,"cover_url_1_1":162,"title":163,"summary":164,"author":28},622,"2025-03-24","#OWL #AI Agent #MAS #MCP #CUA","article_res/cover/cb50ca7f2bf4d1ed50202d7406e1c19a.jpeg","article_res/cover/4aa7aa3badfacf3cc84121334f1050dd.jpeg","OWL: Multi-agent collaboration","OWL: Optimized Workforce Learning for General 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Create.",{"title":182,"list":183},"OPENAI",[184,191,199,206],{"id":185,"publish_date":167,"is_original":23,"collection":186,"cover_url":187,"cover_url_1_1":188,"title":189,"summary":190,"author":28},619,"#OpenAI #AI Image Generator #4o #MMM #AR Transformer","article_res/cover/2faffc97fcecf3151552cb0fd3206d89.jpeg","article_res/cover/1133cb4948af44cee2e7fbe79efb69e5.jpeg","The native image function of GPT-4o is officially launched","Introducing 4o Image Generation",{"id":192,"publish_date":193,"is_original":4,"collection":194,"cover_url":195,"cover_url_1_1":196,"title":197,"summary":198,"author":28},434,"2023-07-15","#Anthropic #OpenAI #Google #AI Code Generator #Claude","article_res/cover/e1b6f600a2b9f262a4392684e5f2ce25.jpeg","article_res/cover/6e1772e83f78f9a351ab23d3e414adee.jpeg","Latest Updates on Google Bard /Anthropic Claude2 / ChatGPT Code Interpreter","We want our models to use their programming skills to provide more natural interfaces to the basic functions of our computers.  \n - OpenAI",{"id":200,"publish_date":201,"is_original":4,"collection":146,"cover_url":202,"cover_url_1_1":203,"title":204,"summary":205,"author":28},417,"2023-08-24","article_res/cover/bccf897d50a88b18364e35f7466387e0.jpeg","article_res/cover/2f871085c1073717c1703ae86e18056f.jpeg","The GPT-3.5 Turbo fine-tuning (fine-tuning function) has been released～","Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.",{"id":207,"publish_date":208,"is_original":4,"collection":209,"cover_url":210,"cover_url_1_1":211,"title":212,"summary":213,"author":28},407,"2023-09-22","#OpenAI #AI Image Generator","article_res/cover/c59005e903d35cfc32346e2756e2728a.jpeg","article_res/cover/ba011d265e6d84b5c8cb6fd6b757b6cc.jpeg","Dall-E 3","DALL·E 3 understands significantly more nuance and detail, allowing you to easily translate your ideas into images.",[215,221,241],{"title":10,"list":216},[217,218,219,220],{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"title":222,"list":223},"GOOGLE",[224,225,226,234],{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"id":227,"publish_date":228,"is_original":23,"collection":229,"cover_url":230,"cover_url_1_1":231,"title":232,"summary":233,"author":28},615,"2025-03-30","#AI Researcher #AI Science #HKU #Google #AI Agent","article_res/cover/21fadf906067714bb0db31ae13a77c15.jpeg","article_res/cover/2697999a72bd26b22e85f0e92936d3ed.jpeg","AI-Researcher: LLM-driven全自动 scientific research assistant","AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents  \nOpen-Sourced Alternative to Google AI Co-Scientist",{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},463,"2023-05-09","article_res/cover/89800f207723acdb55fc53bf999ebdc9.jpeg","article_res/cover/5764f369b4accd8f83e94aa4c077a175.jpeg","The Smallville sandbox world - A town with 25 virtual residents","Believable proxies of human behavior can empower interactive apps: Immersive environment, Rehearsal space, Prototyping tool",{"title":242,"list":243},"NVIDIA",[],true,{"code":4,"msg":5,"data":246},{"id":247,"publish_date":248,"is_original":23,"collection":249,"articles_id":250,"cover_url":251,"cover_url_1_1":252,"title":253,"summary":254,"author":28,"content":255,"popular":256,"list":317,"category":372,"tag":373},316,"2024-03-12","#Anthropic #Claude","pNtGX3npFAvvyqt-ES0OTw","article_res/cover/a618b54183a3af0c342a90a2c148aba3.jpeg","article_res/cover/2ea4501cee5874c4c00b1828a079dafb.jpeg","Introduction to Claude 3 (Part 1)","Being at the frontier of AI development is the most effective way to steer trajectory towards positive societal outcomes.","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>最近一直在出差和开会，没能及时跟进最新的AI动态。今天，试用了已经火了一段时间的Claude 3。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3在2024年3月4日发布的。Claude 3包含三个模型：Claude 3 Haiku、Claude 3 Sonnet和Claude 3 Opus，能力递增。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003822\" data-ratio=\"0.5333333333333333\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810903140.5360522770146201.jpeg\">\u003C/p>\u003Csection data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;color: rgb(0, 0, 0);font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;overflow-x: auto;'>\u003Ctable>\u003Cthead>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Cth style=\"border-top-width: 1px;border-color: rgb(204, 204, 204);background-color: rgb(240, 240, 240);text-align: left;min-width: 85px;\">功能/模型\u003C/th>\u003Cth style=\"border-top-width: 1px;border-color: rgb(204, 204, 204);background-color: rgb(240, 240, 240);text-align: left;min-width: 85px;\">Opus\u003C/th>\u003Cth style=\"border-top-width: 1px;border-color: rgb(204, 204, 204);background-color: rgb(240, 240, 240);text-align: left;min-width: 85px;\">Sonnet\u003C/th>\u003Cth style=\"border-top-width: 1px;border-color: rgb(204, 204, 204);background-color: rgb(240, 240, 240);text-align: left;min-width: 85px;\">Haiku\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody style=\"border-width: 0px;border-style: initial;border-color: initial;\">\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">描述\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">最智能的模型，在高度复杂任务上的性能是市场上最好的\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">实现了智能与速度之间的理想平衡，特别是对于企业工作负载\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">最快速、最紧凑的模型，能够提供近乎即时的响应性\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: rgb(248, 248, 248);\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">输入成本价格\u003Cbr>/million tokens\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$15\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$3\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$0.25\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">输出成本价格\u003Cbr>/million tokens\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$75\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$15\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">$1.25\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: rgb(248, 248, 248);\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">上下文窗口\u003Cbr>tokens\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">200K，同时针对特定用例提供1M\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">200K\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">200K\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">潜在应用\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">任务自动化、研发、策略\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">数据处理、销售、节省时间的任务\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">客户互动、内容审核、节省成本的任务\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: rgb(248, 248, 248);\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">特点\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">提供市场上其他所有模型都无法比拟的高智能\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">相比其他类似智能的模型更经济，更适合大规模应用\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">在其智能类别中更聪明、更快速、更经济\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">前端页面使用\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">claude.ai Pro 订阅者\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">claude.ai 免费用户\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">马上上线\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: rgb(248, 248, 248);\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">API 调用\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">支持\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">支持\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">马上上线\u003C/td>\u003C/tr>\u003Ctr style=\"border-width: 1px 0px 0px;border-right-style: initial;border-bottom-style: initial;border-left-style: initial;border-right-color: initial;border-bottom-color: initial;border-left-color: initial;border-top-style: solid;border-top-color: rgb(204, 204, 204);background-color: white;\">\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">第三方云平台支持\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">AWS Bedrock/Google Vertex AI Model Garden\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">马上上线\u003C/td>\u003Ctd style=\"border-color: rgb(204, 204, 204);min-width: 85px;\">马上上线\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/section>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>多个能力基准测试比较\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>评估包括本科级专家知识（MMLU）、研究生级专家推理（GPQA）、基础数学（GSM8K）等。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3 Opus在复杂任务上展现出接近人类的理解和流畅度。所有Claude 3模型在分析和预测、细腻的内容创作、代码生成，以及使用西班牙语、日语和法语等非英语语言进行交流方面的能力都有所增强。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003823\" data-ratio=\"0.887962962962963\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810903230.21422936170824847.jpeg\">\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>推理速度\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3模型能够支持实时的客户聊天、自动补全和数据提取任务，这些任务需要即时和实时的响应。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Haiku是市场上同类智能模型中最快速和最具成本效益的。它能在不到三秒的时间内阅读一个信息和数据密集的arXiv研究论文（约10000个Token）及其图表和图形。随着产品的推出，预计性能将进一步提升。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>对于大多数工作负载而言，Sonnet的速度是Claude 2和Claude 2.1的两倍，而且智能水平更高。擅长需要快速响应的任务，如知识检索或销售自动化。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Opus的速度与Claude 2和2.1相似，但智能水平要高得多。\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>视觉能力比较\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3模型具有与其他领先模型相当的复杂视觉能力。它们能够处理各种视觉格式，包括照片、图表、图形和技术图解。可以理解各种格式编码，如PDF、流程图或演示幻灯片的知识库。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003824\" data-ratio=\"0.4361111111111111\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810903170.2731703159440677.jpeg\">\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>肉眼可见的聪明\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>以往的Claude模型经常做出不必要的拒绝回应，这暗示了对上下文的理解不足。相比下，Opus、Sonnet和Haiku在接近系统安全边界的提示上拒绝回答的可能性大大降低。如下所示，Claude 3模型对请求展现了更加细腻的理解，能够识别真正的危害，并且在面对无害的提示时较少拒绝回答。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003825\" data-ratio=\"0.41944444444444445\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810903190.2368689703140643.jpeg\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>将回答分为正确答案、错误答案（或幻觉）和不确定性承认，其中，不确定性承认是指模型声明它不知道答案，而不是提供错误信息。与Claude 2.1相比，Opus在这些具有挑战性的开放式问题上展现了两倍的准确性改进（或正确答案），同时还显示出减少的错误答案水平。除了产生更可信的回应之外，很快还将在Claude 3模型中启用引用功能，使它们能够指向参考材料中的确切句子来验证其答案。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003826\" data-ratio=\"0.4074074074074074\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810903200.16119913013500686.jpeg\">\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>上下文窗口\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3系列模型在初次发布时提供20万个上下文窗口。然而，所有三个模型都能够接受超过100万个token的输入，可能会向需要增强处理能力的特定客户提供这一功能。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>为了有效处理长上下文提示，模型需要强大的回忆能力。Claude 3采用了大海捞针'（NIAH）来进行评估。NIAH，或“大海捞针”（Needle In A Haystack），是一个评估模型的能力，特别是在从大量数据中准确提取特定信息的能力。在人工智能和机器学习领域，这种评估通常用于测试模型能否有效地从庞大、复杂的数据集中检索出极为细微或特定的信息片段。\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100003827\" data-ratio=\"0.49444444444444446\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423810904380.7072355349637891.jpeg\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>通过使用每个提示中的30个随机针/问题对之一，并在一个多样化的众包文档语料库上测试，增强了这一基准测试的稳健性。Claude 3 Opus不仅实现了近乎完美的回忆，准确率超过了99%，而且在某些情况下，它甚至识别了评估本身的局限性，认识到“针”句似乎是人为插入到原始文本中的。\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>安全和隐私\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>设有多个专门团队来追踪和减轻广泛的风险，包括错误信息、儿童色情材料（CSAM）、生物误用、选举干预和自主复制技能。团队还在继续开发如宪法式AI等方法，以提高模型的安全性和透明度，并已调整我们的模型以减轻新模态可能引发的隐私问题。如模型卡片所示，根据问题回答偏见基准测试（BBQ），Claude 3模型显示的偏见少于之前的模型。团队致力于推进减少偏见和促进模型更大中立性的技术，确保它们不偏向任何特定的政治立场。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>虽然Claude 3模型家族在生物学知识、网络相关知识和自主性方面相比以往模型有所进步，但根据负责任扩展政策，它仍处于AI安全级别2（ASL-2）。红队评估（按照团队对白宫的承诺和2023年美国行政命令进行）已得出结论，模型目前的灾难性风险潜力可以忽略不计。我们将继续仔细监控未来的模型，评估它们与ASL-3阈值的接近程度。\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>易于使用\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Claude 3模型更擅长遵循复杂的多步骤指令。特别擅长坚持品牌声音和响应指南，此外，Claude 3模型在生成像JSON这样流行的结构化输出方面表现更佳——使得指导Claude用于自然语言分类和情感分析等用例变得更简单。\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>未来展望\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Anthropic 团队认为模型智能远未触及其极限，并计划在接下来的几个月中频繁更新Claude 3模型家族。还计划发布一系列功能以增强模型的能力，特别是针对企业用例和大规模部署。这些新功能将包括工具使用（function calling）、交互式编程（REPL）和更高级的代理能力（agent）。\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>明天会分享一些Claude 3的实用案例分析。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,261,269,277,285,294,302,310],{"id":21,"title_md5":258,"publish_date":22,"author_md5":259,"is_original":23,"collection":5,"summary_md5":260,"cover_url":24,"cover_url_1_1":25},"11aaec56e2b3e420ea476e019c0487b3","bc27fa490c4d0d525bac812fc0793534","3624c8cab3a8417fd95bcdb265d6edb0",{"id":262,"title_md5":263,"publish_date":264,"author_md5":265,"is_original":4,"collection":5,"summary_md5":266,"cover_url":267,"cover_url_1_1":268},507,"6be63fd009431dd340c7bfa3a8ba9424","2022-07-31","f44d4b523ff110f3126ff57530ea5253","c0428d400a12ae6b93d7c163e7a59990","article_res/cover/2bb15a23eaad2f90ffe5a1dd2362c2f3.jpeg","article_res/cover/511f84be021e2f205dcbbc1b2829fcb5.jpeg",{"id":270,"title_md5":271,"publish_date":272,"author_md5":259,"is_original":23,"collection":273,"summary_md5":274,"cover_url":275,"cover_url_1_1":276},81,"f6edf851f3ecf1bf3cb6523f2fda58df","2025-01-03","#Google #DeepMind 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