[{"data":1,"prerenderedAt":377},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$f_uj7MFvIjhqG-V3YwzZQZjAem0BNKoCsa5ScJR2luyw":245,"article-55":376},{"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 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":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":321,"category":374,"tag":375},55,"2025-01-29","#AI Story","NX62fzpz8vNv47RM3zx5cw","article_res/cover/bed7bbc0e0426195924b30c0ec191bc6.jpeg","article_res/cover/7b5123207b62ea98458fb15f980cb340.jpeg","Story-Adapter generates coherent images based on long stories without training","Story-Adapter: A Training-free Iterative Framework for Long Story Visualization","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>Story visualization, which is the task of generating coherent images based on narratives, has made significant progress with the emergence of text-to-image models, especially the application of diffusion models. However, maintaining semantic consistency, generating high-quality fine-grained interactions, and ensuring computational feasibility remain challenges in long story visualization (i.e., generating up to 100 frames).\u003C/p>\u003Csection data-mpa-template=\"t\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: center;align-items: center;width: 100%;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: flex-start;align-items: center;flex-direction: column;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"width: 23px;height: 23px;display: flex;justify-content: center;align-items: center;align-self: flex-end;margin-right: 22px;margin-bottom: -8.1px;z-index: 1;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cimg class=\"rich_pages wxw-img\" data-imgfileid=\"100009139\" data-ratio=\"1\" data-w=\"400\" src=\"./assets/17423771087570.7464623643468749.gif\">\u003C/section>\u003Csection style=\"background: #FFDD4F;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"text-align: center;padding: 9px 14px 8px 15px;background: rgb(255, 255, 255);border-width: 1px;border-style: solid;border-color: rgb(76, 77, 81);transform: translate(-4.1px, -4.1px);\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cp style=\"font-size: 16px;font-family: PingFangSC-Semibold, PingFang SC;font-weight: bold;color: #4C4D51;line-height: 22px;letter-spacing: 2px;\" data-mid=\"\">Introduction 🦖\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>its superiority in improving semantic consistency and the ability to generate fine-grained interactions, especially in long story scenarios.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009146\" data-ratio=\"0.8083333333333333\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" src=\"./assets/17423771089780.9341970914283464.jpeg\">\u003C/p>\u003Csection data-mpa-template=\"t\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: center;align-items: center;width: 100%;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: flex-start;align-items: center;flex-direction: column;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"width: 23px;height: 23px;display: flex;justify-content: center;align-items: center;align-self: flex-end;margin-right: 22px;margin-bottom: -8.1px;z-index: 1;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cimg class=\"rich_pages wxw-img\" data-imgfileid=\"100009140\" data-ratio=\"1\" data-w=\"400\" src=\"./assets/17423771089650.01075121800716361.gif\">\u003C/section>\u003Csection style=\"background: #FFDD4F;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"text-align: center;padding: 9px 14px 8px 15px;background: rgb(255, 255, 255);border-width: 1px;border-style: solid;border-color: rgb(76, 77, 81);transform: translate(-4.1px, -4.1px);\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cp style=\"font-size: 16px;font-family: PingFangSC-Semibold, PingFang SC;font-weight: bold;color: #4C4D51;line-height: 22px;letter-spacing: 2px;\" data-mid=\"\">Framework 🤖\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>The figure below illustrates the proposed iterative paradigm, including initialization, the iterative process within Story-Adapter, and the implementation of Global Reference Cross-Attention (GRCA). Story-Adapter first visualizes each image solely based on the textual prompt of the story and uses all generated results as reference images for future rounds. During the iterative process, Story-Adapter integrates GRCA into SD. For the i-th image visualization in each round, GRCA aggregates information streams from all reference images during the denoising process via cross-attention. All results from each iteration will serve as reference images, guiding dynamic updates in story visualization during the next round of iterations.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009147\" data-ratio=\"0.5805555555555556\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" src=\"./assets/17423771087770.317747022808635.jpeg\">\u003C/p>\u003Csection data-mpa-template=\"t\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: center;align-items: center;width: 100%;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: flex-start;align-items: center;flex-direction: column;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"width: 23px;height: 23px;display: flex;justify-content: center;align-items: center;align-self: flex-end;margin-right: 22px;margin-bottom: -8.1px;z-index: 1;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cimg class=\"rich_pages wxw-img\" data-imgfileid=\"100009141\" data-ratio=\"1\" data-w=\"400\" src=\"./assets/17423771089840.18791055819741076.gif\">\u003C/section>\u003Csection style=\"background: #FFDD4F;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"text-align: center;padding: 9px 14px 8px 15px;background: rgb(255, 255, 255);border-width: 1px;border-style: solid;border-color: rgb(76, 77, 81);transform: translate(-4.1px, -4.1px);\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cp style=\"font-size: 16px;font-family: PingFangSC-Semibold, PingFang SC;font-weight: bold;color: #4C4D51;line-height: 22px;letter-spacing: 2px;\" data-mid=\"\">Performance 🎨\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>\u003Cspan style=\"font-size: 20px;font-weight: bold;letter-spacing: 0em;\">Conventional-length story visualization\u003C/span>\u003C/p>\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009153\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771112990.8312745294132997.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009154\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771128560.49288916361490953.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009155\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771093030.21679603742014253.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009156\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771110420.18352102169717943.gif\">\u003C/p>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009157\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771162800.06452962495454329.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009158\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771110470.6871271122244547.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009159\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771194750.4279660001191261.gif\">\u003C/p>\u003C/td>\u003Ctd width=\"123\" valign=\"top\">\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009160\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"512\" style=\"\" src=\"./assets/17423771107610.4864183815544225.gif\">\u003C/p>\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>\u003Cspan style=\"font-size: 20px;font-weight: bold;letter-spacing: 0em;\">\u003C/span>\u003C/p>\u003Ch3 style='margin-top: 30px;margin-bottom: 15px;color: rgba(0, 0, 0, 0.85);cursor: pointer;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;letter-spacing: normal;text-align: left;background-color: rgb(255, 255, 255);'>\u003Cspan style=\"cursor: pointer;font-size: 20px;color: rgb(0, 0, 0);line-height: 1.5em;letter-spacing: 0em;font-weight: bold;display: block;\">Long-form story visualization\u003C/span>\u003C/h3>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009161\" data-ratio=\"0.5\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423771089840.9928419744099535.png\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cbr>\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009162\" data-ratio=\"0.5\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423771110680.3193417568046837.png\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cbr>\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009163\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423771089770.8603294257567016.png\">\u003C/p>\u003Cspan style=\"cursor: pointer;font-size: 20px;color: rgb(0, 0, 0);line-height: 1.5em;letter-spacing: 0em;font-weight: bold;display: block;\">\u003Cbr>\u003C/span>\u003Csection data-mpa-template=\"t\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: center;align-items: center;width: 100%;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: flex-start;align-items: center;flex-direction: column;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"width: 23px;height: 23px;display: flex;justify-content: center;align-items: center;align-self: flex-end;margin-right: 22px;margin-bottom: -8.1px;z-index: 1;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cimg class=\"rich_pages wxw-img\" data-imgfileid=\"100009142\" data-ratio=\"1\" data-w=\"400\" src=\"./assets/17423771088170.5753626853579292.gif\">\u003C/section>\u003Csection style=\"background: #FFDD4F;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"text-align: center;padding: 9px 14px 8px 15px;background: rgb(255, 255, 255);border-width: 1px;border-style: solid;border-color: rgb(76, 77, 81);transform: translate(-4.1px, -4.1px);\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cp style=\"font-size: 16px;font-family: PingFangSC-Semibold, PingFang SC;font-weight: bold;color: #4C4D51;line-height: 22px;letter-spacing: 2px;\" data-mid=\"\">Comparison 📊\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>better meets the requirements for effective story visualization.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009145\" data-ratio=\"0.8935185185185185\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" src=\"./assets/17423771104160.7317811742261549.jpeg\">\u003C/p>\u003Csection data-mpa-template=\"t\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: center;align-items: center;width: 100%;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"display: flex;justify-content: flex-start;align-items: center;flex-direction: column;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"width: 23px;height: 23px;display: flex;justify-content: center;align-items: center;align-self: flex-end;margin-right: 22px;margin-bottom: -8.1px;z-index: 1;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cimg class=\"rich_pages wxw-img\" data-imgfileid=\"100009143\" data-ratio=\"1\" data-w=\"400\" src=\"./assets/17423771103630.9049425002759133.gif\">\u003C/section>\u003Csection style=\"background: #FFDD4F;\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Csection style=\"text-align: center;padding: 9px 14px 8px 15px;background: rgb(255, 255, 255);border-width: 1px;border-style: solid;border-color: rgb(76, 77, 81);transform: translate(-4.1px, -4.1px);\" data-mid=\"\" mpa-from-tpl=\"t\">\u003Cp style=\"font-size: 16px;font-family: PingFangSC-Semibold, PingFang SC;font-weight: bold;color: #4C4D51;line-height: 22px;letter-spacing: 2px;\" data-mid=\"\">Trial use 🚀\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp style='margin-bottom: 0px;cursor: pointer;color: rgb(0, 0, 0);font-size: 16px;line-height: 1.8em;letter-spacing: normal;text-align: left;padding-top: 8px;padding-bottom: 8px;font-family: Optima, \"Microsoft YaHei\", PingFangSC-regular, serif;background-color: rgb(255, 255, 255);'>https://colab.research.google.com/drive/1sFbw0XlCQ6DBRU3s2n_F2swtNmHoicM-\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100009164\" data-ratio=\"0.5388888888888889\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423771099890.208690283925143.png\">\u003C/p>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,265,273,281,289,297,305,313],{"id":258,"title_md5":259,"publish_date":260,"author_md5":261,"is_original":4,"collection":5,"summary_md5":262,"cover_url":263,"cover_url_1_1":264},569,"d7ff636c1518477f579eb4370df50d51","2022-04-17","1deefc9bc7e1c4c9c48e595c0a2dc06a","25e17f108294503c90210fcc0168f587","article_res/cover/b03629a77c01b8dc880bc860c977a3f0.jpeg","article_res/cover/c08a01bf1570dd525fa626a805201521.jpeg",{"id":266,"title_md5":267,"publish_date":268,"author_md5":269,"is_original":23,"collection":65,"summary_md5":270,"cover_url":271,"cover_url_1_1":272},449,"f03db6cab41a3fb194ed2ee828421689","2023-05-31","bc27fa490c4d0d525bac812fc0793534","c8afdafc72a9a7d77f784818db15af66","article_res/cover/a69471e4c1bf65c41de635b4be79512c.jpeg","article_res/cover/3ab68d56c70e2cf176c2289d0c44058e.jpeg",{"id":274,"title_md5":275,"publish_date":276,"author_md5":277,"is_original":4,"collection":5,"summary_md5":278,"cover_url":279,"cover_url_1_1":280},582,"fc8bb646389a03f1c66550f7edda2a3f","2022-04-04","8b3607d0f4181a3cb6ffdccf7185f09b","dd82955b1005b513f9037049cf238d92","article_res/cover/773216ade9dc1d102c275d3eb44a12a0.jpeg","article_res/cover/b915bf644bcab2e1edce50560d9c6144.jpeg",{"id":282,"title_md5":283,"publish_date":284,"author_md5":269,"is_original":23,"collection":285,"summary_md5":286,"cover_url":287,"cover_url_1_1":288},95,"0e1ba02a327fff553a6649ae7429799f","2024-12-20","#Devin #AI Code Generator","714f280897da32db9ae952afaf0179ce","article_res/cover/6bf285124b727832a418553395e1e996.jpeg","article_res/cover/7bf890a8a3b18d73ebef13e2ddd893b5.jpeg",{"id":290,"title_md5":291,"publish_date":292,"author_md5":293,"is_original":4,"collection":5,"summary_md5":294,"cover_url":295,"cover_url_1_1":296},418,"ec6a8441aa736288959b3202e5fab118","2023-08-23","cfab1ba8c67c7c838db98d666f02a132","081bf9eeaab9e250d33c262946194749","article_res/cover/0882c39966a7cddb5ca2eafb8e8e5c12.jpeg","article_res/cover/6b46b2c8f170a8ac5a6c5ee499451d30.jpeg",{"id":298,"title_md5":299,"publish_date":300,"author_md5":269,"is_original":23,"collection":301,"summary_md5":302,"cover_url":303,"cover_url_1_1":304},10,"68a31d2c911b49a19e93de6e4e1a6b47","2025-03-11","#AI Voice Generator #AI Speech Generation #Sesame #TTS #CSM","94b02c84882800ec3960a55046c82d6c","article_res/cover/8022c1f35a13c9ddd348b4dcb307c428.jpeg","article_res/cover/757a7cd07dff517d86ce882b0654f953.jpeg",{"id":306,"title_md5":307,"publish_date":308,"author_md5":269,"is_original":23,"collection":309,"summary_md5":310,"cover_url":311,"cover_url_1_1":312},88,"ed1ce63cd1bab72d411e79497983873a","2024-12-27","#Google #DeepMind #AI Video Editor","46e9f1264ab850a8652807f024c64dd3","article_res/cover/f3a3cfcaeec3017cbcac29cc061a5373.jpeg","article_res/cover/4e53961d08f35b5ffef21f052dec5d87.jpeg",{"id":314,"title_md5":315,"publish_date":316,"author_md5":293,"is_original":4,"collection":317,"summary_md5":318,"cover_url":319,"cover_url_1_1":320},483,"7f47d4743aeee539a2e738e83669158d","2023-04-11","#Stable Diffusion #AI Image Generator","0c2ce675c558ebd1e9ae8068c452eedc","article_res/cover/d77dce0c832b05db6311a33d07e6bad2.jpeg","article_res/cover/7cd52f4ca532f0210fdd416ef6f35a96.jpeg",{"related":322,"small":359},[323,330,337,344,352],{"id":324,"publish_date":325,"is_original":4,"collection":5,"cover_url":326,"cover_url_1_1":327,"title":328,"summary":329,"author":28},445,"2023-06-11","article_res/cover/f4eab407304344b8bdf32e7d554b8f5f.jpeg","article_res/cover/98147e9d0bd0afb1ceb6e931e4c2e70b.jpeg","How to run machine learning models on the Replicate platform","Replicate lets you run machine learning models with a few lines of code, without needing to understand how ML works.",{"id":331,"publish_date":332,"is_original":4,"collection":5,"cover_url":333,"cover_url_1_1":334,"title":335,"summary":336,"author":53},419,"2023-08-22","article_res/cover/0418afcee8ef2929f76d1437f08b164f.jpeg","article_res/cover/40a5325e953d7ffcfe5f2bde881f04ee.jpeg","EOA and AA Wallets","What is Account Abstraction (AA) and How Do AA Wallets Work?",{"id":338,"publish_date":339,"is_original":23,"collection":5,"cover_url":340,"cover_url_1_1":341,"title":342,"summary":343,"author":28},340,"2024-01-21","article_res/cover/5360ee5c76f60679ef0da213560eb0d1.jpeg","article_res/cover/268e6d62eef7bb4f20167ff77149a536.jpeg","InstantID maintains high facial fidelity while maintaining compatibility with other models.","InstantID: Zero-shot Identity-Preserving Generation in Seconds",{"id":345,"publish_date":346,"is_original":4,"collection":5,"cover_url":347,"cover_url_1_1":348,"title":349,"summary":350,"author":351},539,"2022-05-17","article_res/cover/c7827fdb8a24ad69e8258305dc11c5b7.jpeg","article_res/cover/e7a8bfe89e48f53c8a6669306014c930.jpeg","\"The Burning of Books and Burying of Scholars\"","The imperial cause turned to naught as bamboo and silk were consumed by smoke, and the land of rivers and passes locked in vain the abode of the First Qin Emperor.  \nThe ashes from the pits were not yet cold when turmoil arose east of the mountains; it turns out that Liu Bang and Xiang Yu never read books.","Excerpt",{"id":353,"publish_date":354,"is_original":23,"collection":5,"cover_url":355,"cover_url_1_1":356,"title":357,"summary":358,"author":28},436,"2023-07-04","article_res/cover/74dac6e0da152222f9bcef4915543e43.jpeg","article_res/cover/24bd50763eb079f198644d4a39da6446.jpeg","Midjouney V5.2 Feature Introduction","This model produces more detailed, sharper results with better colors, contrast, and compositions.",[360,366,372],{"title":10,"list":361},[362,363,364,365],{"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":367},[368,369,370,371],{"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":373},[],[8,9,10],[8,12,13,14,9,10,15,16,17,18],["Reactive",245],1754646421654]