[{"data":1,"prerenderedAt":381},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fl-ma8-pKKgUtDfsDWetGsb1TqiqMNUDrIdWjyxNCaoY":245,"article-394":380},{"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? 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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 Multi-Agent Assistance in Real-World Task Automation",{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},620,"2025-03-26","#LLM #Google #Gemini #AI Agent","article_res/cover/53751a6dbbe990b1eb0b63f3b062aed4.jpeg","article_res/cover/031344981f0a212ff82d1f3a64aa5756.jpeg","Gemini 2.5 Pro, claimed to be far ahead of the competition, has been released with great fanfare: comprehensively surpassing other LLMs and topping the global rankings","Gemini 2.5: Our most intelligent AI model",{"id":174,"publish_date":175,"is_original":23,"collection":176,"cover_url":177,"cover_url_1_1":178,"title":179,"summary":180,"author":28},616,"2025-03-29","#MAS #AI Agent #AI Coder #MetaGPT #MGX","article_res/cover/9dcd702ad2035902e5e77967c34a1f1e.jpeg","article_res/cover/0a97fc4a922753c8f46ff38792020df8.jpeg","MGX - An automated website-building platform composed of multiple AI Agents","Your 24/7 AI Team | Dream, Chat, 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":4,"collection":249,"articles_id":250,"cover_url":251,"cover_url_1_1":252,"title":253,"summary":254,"author":28,"content":255,"popular":256,"list":323,"category":378,"tag":379},394,"2023-10-13","#OpenAI #Object Detection","Sz6n1nG9C7JBnhF1dVArxw","article_res/cover/d017b24a500d3b0391c21eb71d4d7650.jpeg","article_res/cover/ff67b2c4511b1ec38fd238ea465a65bf.jpeg","ChatGPT's application capabilities in the visual domain - Advanced Level 3","The true power of GPT-4V lies in its ability to perform effortlessly right out of the box","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Scene text, table, chart and document reasoning\u003C/h3>\u003Cul data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Accurately identifies handwritten and printed text within a scene.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.7956204379562044\" data-s=\"300,640\" data-type=\"png\" data-w=\"411\" style=\"\" src=\"./assets/17423814001390.2596540743921216.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Can identify a right triangle and determine its side lengths AB as 4 units and BC as 3 units.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"2.8197674418604652\" data-s=\"300,640\" data-type=\"png\" data-w=\"172\" style=\"\" src=\"./assets/17423814001330.0008503746622094965.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Accurately interprets the beginning and end of a proposal process.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.2716763005780347\" data-s=\"300,640\" data-type=\"png\" data-w=\"519\" style=\"\" src=\"./assets/17423814001350.48699870455495886.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Identifies the Chinese dish \"Re Gan Mian\" and associates it with Wuhan City.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"2.389830508474576\" data-s=\"300,640\" data-type=\"png\" data-w=\"236\" style=\"\" src=\"./assets/17423814003390.0389951689578063.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">To improve model performance, advanced prompt techniques such as step-by-step guidance or few-shot context methods can be considered instead of providing the model with multi-page prompts all at once.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.3570057581573896\" data-s=\"300,640\" data-type=\"png\" data-w=\"521\" style=\"\" src=\"./assets/17423814003400.6110153142127552.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ul>\u003Chr data-tool=\"mdnice编辑器\" style='margin-top: 10px;margin-bottom: 10px;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;height: 1px;border-right: none;border-bottom: none;border-left: none;border-top-style: solid;border-top-color: black;'>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Multilingual and multimodal\u003C/h3>\u003Cul data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: In image description prompts, accepts Chinese, French, and Czech languages and returns corresponding image descriptions in those languages.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.41630901287553645\" data-s=\"300,640\" data-type=\"png\" data-w=\"932\" style=\"\" src=\"./assets/17423814002010.2506152982733705.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Recognizes scene images containing texts in multiple languages.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.2063492063492063\" data-s=\"300,640\" data-type=\"png\" data-w=\"315\" style=\"\" src=\"./assets/17423814020990.0826626946421638.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Understands cultural differences and generates appropriate multilingual descriptions for wedding pictures.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.576\" data-s=\"300,640\" data-type=\"png\" data-w=\"375\" src=\"./assets/17423814021100.1584545559648609.png\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.7405405405405405\" data-s=\"300,640\" data-type=\"png\" data-w=\"370\" style=\"\" src=\"./assets/17423814008870.43403277732793244.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ul>\u003Chr data-tool=\"mdnice编辑器\" style='margin-top: 10px;margin-bottom: 10px;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;height: 1px;border-right: none;border-bottom: none;border-left: none;border-top-style: solid;border-top-color: black;'>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Code generation capability\u003C/h3>\u003Cul data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Generates LaTeX code from handwritten math equations.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.4369158878504673\" data-s=\"300,640\" data-type=\"png\" data-w=\"428\" style=\"\" src=\"./assets/17423814008780.8608257131320538.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Converts tables in images into Markdown code.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.0339366515837105\" data-s=\"300,640\" data-type=\"png\" data-w=\"442\" style=\"\" src=\"./assets/17423814019190.10296090639434397.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Demonstrates how to replicate input graphics using Python, TikZ, and SVG.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.3968871595330739\" data-s=\"300,640\" data-type=\"png\" data-w=\"257\" style=\"\" src=\"./assets/17423814010500.6164810874365303.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ul>\u003Chr data-tool=\"mdnice编辑器\" style='margin-top: 10px;margin-bottom: 10px;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;height: 1px;border-right: none;border-bottom: none;border-left: none;border-top-style: solid;border-top-color: black;'>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Time and video understanding\u003C/h3>\u003Cul data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Can accurately analyze sequences of video frames.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.0174757281553397\" data-s=\"300,640\" data-type=\"png\" data-w=\"515\" style=\"\" src=\"./assets/17423814031870.09170924938442782.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Measures the model's ability to identify causal relationships and temporal progressions in shuffled images.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.8653465346534653\" data-s=\"300,640\" data-type=\"png\" data-w=\"505\" style=\"\" src=\"./assets/17423814016280.9940430654214476.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: For example, use GPT-4V to predict short-term outcomes of soccer penalty kicks.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"2.3512396694214877\" data-s=\"300,640\" data-type=\"png\" data-w=\"242\" style=\"\" src=\"./assets/17423814023090.852882366048132.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Determines whether the goalkeeper successfully blocked the ball, demonstrating an understanding of causality.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.0421455938697317\" data-s=\"300,640\" data-type=\"png\" data-w=\"522\" style=\"\" src=\"./assets/17423814022930.14073945290605594.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ul>\u003Chr data-tool=\"mdnice编辑器\" style='margin-top: 10px;margin-bottom: 10px;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;height: 1px;border-right: none;border-bottom: none;border-left: none;border-top-style: solid;border-top-color: black;'>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Emotional intelligence testing\u003C/h3>\u003Col data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Identifies emotions in facial expressions and provides reasonable emotional explanations.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.0393700787401574\" data-s=\"300,640\" data-type=\"png\" data-w=\"254\" style=\"\" src=\"./assets/17423814011650.4310735001197197.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Interprets emotions based on content and image style, such as contentment, anger, awe, and fear. This is crucial for applications like home robots.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"2.1968503937007875\" data-s=\"300,640\" data-type=\"png\" data-w=\"254\" style=\"\" src=\"./assets/17423814016080.29295516585467674.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Can describe images according to emotional requirements, making image descriptions scarier or more comforting.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"2.364341085271318\" data-s=\"300,640\" data-type=\"png\" data-w=\"258\" style=\"\" src=\"./assets/17423814024390.2353540370562044.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ol>\u003Chr data-tool=\"mdnice编辑器\" style='margin-top: 10px;margin-bottom: 10px;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;height: 1px;border-right: none;border-bottom: none;border-left: none;border-top-style: solid;border-top-color: black;'>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: rgb(0, 0, 0);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;'>Emergence\u003C/h3>\u003Cul data-tool=\"mdnice编辑器\" class=\"list-paddingleft-1\" style='margin-top: 8px;margin-bottom: 8px;padding-left: 25px;width: 557.438px;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;'>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Identifies differing regions or components in images.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.8185404339250493\" data-s=\"300,640\" data-type=\"png\" data-w=\"507\" style=\"\" src=\"./assets/17423814004360.4033578888314786.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Demonstrates GPT-4V's defect detection capabilities on defective product images.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.951417004048583\" data-s=\"300,640\" data-type=\"png\" data-w=\"247\" style=\"\" src=\"./assets/17423814012230.15968011106419788.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Combines human detectors with GPT-4V's visual reasoning to identify potential safety hazards.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.3059071729957805\" data-s=\"300,640\" data-type=\"png\" data-w=\"474\" style=\"\" src=\"./assets/17423814003400.8033380919208915.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;color: rgb(1, 1, 1);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;line-height: 26px;color: black;\">: Through further development, more complex and practical self-checkout scenarios can be explored, achieving full automation of the checkout process and enhancing customer experience.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.3304721030042919\" data-s=\"300,640\" data-type=\"png\" data-w=\"466\" style=\"\" src=\"./assets/17423814003380.3999604453332313.png\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003C/section>\u003C/li>\u003C/ul>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,266,274,282,291,299,307,315],{"id":258,"title_md5":259,"publish_date":260,"author_md5":261,"is_original":23,"collection":262,"summary_md5":263,"cover_url":264,"cover_url_1_1":265},251,"3a1390a5c063b85ef2df58617fecb27b","2024-06-09","bc27fa490c4d0d525bac812fc0793534","#AI Virtual Try-On #Object Detection","bc2bb8d7d89490920f0ee7ad38dc9a9b","article_res/cover/96a88679f3862c176efac93a5f10d2c0.jpeg","article_res/cover/171fb9074249f8c66779a2c00650fb97.jpeg",{"id":267,"title_md5":268,"publish_date":269,"author_md5":261,"is_original":23,"collection":270,"summary_md5":271,"cover_url":272,"cover_url_1_1":273},78,"a644951e124a11e07b26d666b7de9477","2025-01-06","#Meta #AI Video Generation #AI Animation","cf390a5ae390cda9338ecd817d4b9823","article_res/cover/be0aab960f8ba4c2774a4900d8f532cd.jpeg","article_res/cover/48dd090fe8fbfe7369223ffa67e24994.jpeg",{"id":275,"title_md5":276,"publish_date":277,"author_md5":278,"is_original":4,"collection":5,"summary_md5":279,"cover_url":280,"cover_url_1_1":281},564,"5b27684a4f3dc1b3e06e06eacdb5cd6b","2022-04-22","f44d4b523ff110f3126ff57530ea5253","97094967054cea34300a561141b06f02","article_res/cover/1f1c508f274d56f06700dd3fba2c8a29.jpeg","article_res/cover/b4dbd9e5c859157086160a7b827c56f7.jpeg",{"id":283,"title_md5":284,"publish_date":285,"author_md5":286,"is_original":4,"collection":287,"summary_md5":288,"cover_url":289,"cover_url_1_1":290},587,"ad8ecf48251433b17d60bb444fdb0684","2022-03-30","4f827bb0e8f01a866d164bd7eaf8b2a4","#Psychology","32bf145ae17ff55a1390c4f00222e25c","article_res/cover/159eaa627dae6a3aa2f0138aaa3079e9.jpeg","article_res/cover/3247d6e9cc489a24c763f0b261a4089a.jpeg",{"id":292,"title_md5":293,"publish_date":294,"author_md5":261,"is_original":23,"collection":295,"summary_md5":296,"cover_url":297,"cover_url_1_1":298},256,"2cfd4df7d23c4f8db0273155aa9e6711","2024-06-04","#AI Video Generator #Sora","e361baa2f7aaa682be3c0554e5363aa2","article_res/cover/f8f4418b88fd1a7399af611af75b5c19.jpeg","article_res/cover/11e860f728d6be033979d66a452d3344.jpeg",{"id":300,"title_md5":301,"publish_date":302,"author_md5":261,"is_original":4,"collection":303,"summary_md5":304,"cover_url":305,"cover_url_1_1":306},370,"3ab045601ac9891b9aa44fba3a6e797a","2023-12-15","#AI Virtual Try-On #Alibaba","136f3532c6abb470973821929603b0f8","article_res/cover/98567c2af1fb95c7cb15ca679bc30d10.jpeg","article_res/cover/6d820d79f078c0790edf5b5267c50e1f.jpeg",{"id":308,"title_md5":309,"publish_date":310,"author_md5":311,"is_original":4,"collection":5,"summary_md5":312,"cover_url":313,"cover_url_1_1":314},529,"b0790f95d7442780537fac0919c36a50","2022-05-27","8b3607d0f4181a3cb6ffdccf7185f09b","c00848f8304c269997d2bb5ecd559700","article_res/cover/f8d7e7f132aa8a56092462fc630f5ba5.jpeg","article_res/cover/5d0b2e9be6bb118dea508cdc8a65eadd.jpeg",{"id":316,"title_md5":317,"publish_date":318,"author_md5":319,"is_original":23,"collection":65,"summary_md5":320,"cover_url":321,"cover_url_1_1":322},548,"fd2f666a2c6e1f073d210cbeedf4e855","2022-05-08","8936f53b23e9dfe2965d9e2ec23a4779","a41a2645c872279ec2902aab727bfeab","article_res/cover/57ff459a7216dda5ec0ebf150d65a192.jpeg","article_res/cover/027261d0f3d4ff543ac27ee3dacbee66.jpeg",{"related":324,"small":363},[325,332,340,347,355],{"id":326,"publish_date":327,"is_original":23,"collection":73,"cover_url":328,"cover_url_1_1":329,"title":330,"summary":331,"author":28},162,"2024-10-02","article_res/cover/509ff9fe9bfe754efd81da81384a9c1c.jpeg","article_res/cover/0dc5c996a691517e119efdd32f463512.jpeg","Google provides 185 cases of using generative AI.","AI is here, AI is everywhere.",{"id":333,"publish_date":334,"is_original":4,"collection":5,"cover_url":335,"cover_url_1_1":336,"title":337,"summary":338,"author":339},547,"2022-05-09","article_res/cover/22f9e6b0329585164c832d154f57e3f2.jpeg","article_res/cover/3f397773ad108c28921296b9895f33bf.jpeg","Be at ease with yourself / Reconcile with oneself","This is more about the storyline, the dialogue in our mind.","Excerpt",{"id":341,"publish_date":342,"is_original":23,"collection":343,"cover_url":344,"cover_url_1_1":345,"title":346,"summary":5,"author":28},133,"2024-11-08","#AI Code Generator","article_res/cover/c919553e30cadce7fad37fe835f06439.jpeg","article_res/cover/454605e3395c7a89ab94f834888b9dfa.jpeg","Cursor - The AI Code Editor",{"id":348,"publish_date":349,"is_original":23,"collection":350,"cover_url":351,"cover_url_1_1":352,"title":353,"summary":354,"author":28},154,"2024-10-12","#Elon Musk","article_res/cover/84b1f160638e6519ef9f914f15d619fc.jpeg","article_res/cover/07a8f102e977a19c82ac04e1e513a90c.jpeg","Elon Musk's presentation","The future should look like the future",{"id":356,"publish_date":357,"is_original":23,"collection":358,"cover_url":359,"cover_url_1_1":360,"title":361,"summary":362,"author":28},38,"2025-02-15","#AI Audio Generator #Sony","article_res/cover/9162fca94aab5d1117b99c23c206dc87.jpeg","article_res/cover/c5731cc285b5bd55087f7243fc8bad46.jpeg","Sony's MMAudio model — generating sound effects for videos","MMAudio generates synchronized audio given video and/or text inputs.",[364,370,376],{"title":10,"list":365},[366,367,368,369],{"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":371},[372,373,374,375],{"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},{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},{"title":242,"list":377},[],[8,9,10],[8,12,13,14,9,10,15,16,17,18],["Reactive",245],1754646420054]