[{"data":1,"prerenderedAt":380},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fkybebOZbJvKZllk-4eHqySSBBXzybPFWBEwUJEYDwis":245,"article-400":379},{"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":377,"tag":378},400,"2023-10-04","#AI Game #AI Agent #Langchain","HA-wWKXRRyKYMhX2-qi9TQ","article_res/cover/9c9397bcab6cc954743ffc99c5290ad2.jpeg","article_res/cover/14f79ef5a53953b81969194954840809.jpeg","Writing Agents with Langchain to simulate multiplayer Dungeons & Dragons","This notebook shows how to use the DialogueAgent and DialogueSimulator classes to play multi-player Dungeons & Dragons.","\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;'>\u003Cstrong>《龙与地下城》\u003C/strong>（英语：Dungeons & Dragons，简称D&D或DnD）是一款奇幻背景的角色扮演游戏。\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;'>D&D 是一种结构化但开放式的设定，通常在室内进行，参与者围坐在桌子周围。典型的游戏中，一个玩家担任地下城主（Dungeon Master，简称DM），而其他玩家各自控制一个角色，代表一个虚构世界中的个体。\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;'>Langchain 有一个实例，即使用 LLM Agents 来玩这个游戏，主要代码如下：https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd\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;'>之前的设置的代码就可以看原链接，我就把演示开始玩的部分打出来。\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;'>打印叙述者和角色的描述\u003C/h2>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;color: rgb(0, 0, 0);font-size: 16px;letter-spacing: normal;text-align: left;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='margin-bottom: -7px;display: block;background: url(\"./assets/17423814220030.9660024585074543.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 558.182px;border-radius: 5px;'>\u003C/span>\u003Ccode style='padding: 15px 16px 16px;overflow-x: auto;color: rgb(171, 178, 191);display: -webkit-box;font-family: \"Operator Mono\", Consolas, Monaco, Menlo, monospace;font-size: 12px;background: rgb(40, 44, 52);border-radius: 5px;'>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"Storyteller Description:\"\u003C/span>)\u003Cbr>print(storyteller_description)\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">for\u003C/span> character_name, character_description \u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">in\u003C/span> zip(\u003Cbr>    character_names, character_descriptions\u003Cbr>):\u003Cbr>    print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{character_name}\u003C/span> Description:\"\u003C/span>)\u003Cbr>    print(character_description)\u003C/code>\u003C/pre>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-ratio=\"0.375\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423814218480.4639613307029442.png\">\u003Cspan style='font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, \"Helvetica Neue\", \"PingFang SC\", \"Hiragino Sans GB\", \"Microsoft YaHei UI\", \"Microsoft YaHei\", Arial, sans-serif;font-size: var(--articleFontsize);letter-spacing: 0.034em;text-align: justify;'>\u003C/span>\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;'>使任务更具体化\u003C/h2>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;color: rgb(0, 0, 0);font-size: 16px;letter-spacing: normal;text-align: left;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='margin-bottom: -7px;display: block;background: url(\"./assets/17423814220030.9660024585074543.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 558.182px;border-radius: 5px;'>\u003C/span>\u003Ccode style='padding: 15px 16px 16px;overflow-x: auto;color: rgb(171, 178, 191);display: -webkit-box;font-family: \"Operator Mono\", Consolas, Monaco, Menlo, monospace;font-size: 12px;background: rgb(40, 44, 52);border-radius: 5px;'>quest_specifier_prompt = [\u003Cbr>    SystemMessage(content=\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"You can make a task more specific.\"\u003C/span>),\u003Cbr>    HumanMessage(\u003Cbr>        content=\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"\"\"\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{game_description}\u003C/span>\u003Cbr>\u003Cbr>        You are the storyteller, \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{storyteller_name}\u003C/span>.\u003Cbr>        Please make the quest more specific. Be creative and imaginative.\u003Cbr>        Please reply with the specified quest in \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{word_limit}\u003C/span> words or less.\u003Cbr>        Speak directly to the characters: \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{*character_names,}\u003C/span>.\u003Cbr>        Do not add anything else.\"\"\"\u003C/span>\u003Cbr>    ),\u003Cbr>]\u003Cbr>specified_quest = ChatOpenAI(temperature=\u003Cspan style=\"color: rgb(209, 154, 102);line-height: 26px;\">1.0\u003C/span>)(quest_specifier_prompt).content\u003Cbr>\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"Original quest:\\n\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{quest}\u003C/span>\\n\"\u003C/span>)\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"Detailed quest:\\n\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{specified_quest}\u003C/span>\\n\"\u003C/span>)\u003Cbr>\u003C/code>\u003C/pre>\u003Cblockquote data-tool=\"mdnice编辑器\" style='margin-top: 20px;margin-bottom: 20px;padding: 10px 10px 10px 20px;border-left-color: rgba(0, 0, 0, 0.4);color: rgb(106, 115, 125);font-size: 0.9em;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;border-top: none;border-right: none;border-bottom: none;overflow: auto;background: rgba(0, 0, 0, 0.05);'>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Original quest:\u003C/strong>\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">Find all of Lord Voldemort's seven horcruxes.\u003C/p>\u003C/blockquote>\u003Cblockquote data-tool=\"mdnice编辑器\" style='margin-top: 20px;margin-bottom: 20px;padding: 10px 10px 10px 20px;border-left-color: rgba(0, 0, 0, 0.4);color: rgb(106, 115, 125);font-size: 0.9em;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;border-top: none;border-right: none;border-bottom: none;overflow: auto;background: rgba(0, 0, 0, 0.05);'>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Detailed quest:\u003C/strong>\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">Harry Potter, Ron Weasley, Hermione Granger, and Argus Filch, your mission awaits. In the hidden depths of the Forbidden Forest lies a forgotten vault. Guarded by ancient creatures bewitched by Lord Voldemort himself, it holds a vital clue regarding his horcruxes. Explore the vault, overcome its treacherous trials, and unravel Lord Voldemort's seven secrets.\u003C/p>\u003C/blockquote>\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;'>开始对话模拟\u003C/h2>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;color: rgb(0, 0, 0);font-size: 16px;letter-spacing: normal;text-align: left;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='margin-bottom: -7px;display: block;background: url(\"./assets/17423814220030.9660024585074543.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 558.182px;border-radius: 5px;'>\u003C/span>\u003Ccode style='padding: 15px 16px 16px;overflow-x: auto;color: rgb(171, 178, 191);display: -webkit-box;font-family: \"Operator Mono\", Consolas, Monaco, Menlo, monospace;font-size: 12px;background: rgb(40, 44, 52);border-radius: 5px;'>max_iters = \u003Cspan style=\"color: rgb(209, 154, 102);line-height: 26px;\">20\u003C/span>\u003Cbr>n = \u003Cspan style=\"color: rgb(209, 154, 102);line-height: 26px;\">0\u003C/span>\u003Cbr>\u003Cbr>simulator = DialogueSimulator(\u003Cbr>    agents=[storyteller] + characters, selection_function=select_next_speaker\u003Cbr>)\u003Cbr>simulator.reset()\u003Cbr>simulator.inject(storyteller_name, specified_quest)\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"(\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{storyteller_name}\u003C/span>): \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{specified_quest}\u003C/span>\"\u003C/span>)\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"\\n\"\u003C/span>)\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">while\u003C/span> n < max_iters:\u003Cbr>    name, message = simulator.step()\u003Cbr>    print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"(\u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{name}\u003C/span>): \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{message}\u003C/span>\"\u003C/span>)\u003Cbr>    print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"\\n\"\u003C/span>)\u003Cbr>    n += \u003Cspan style=\"color: rgb(209, 154, 102);line-height: 26px;\">1\u003C/span>\u003Cbr>\u003C/code>\u003C/pre>\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;'>开始运行之后，这几个 agent 大哥就聊起来了\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-ratio=\"0.8240740740740741\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17423814218520.44579064616469055.png\">\u003C/p>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,266,274,282,290,298,305,313],{"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},126,"391c86752e244541dff5ca3d064b44b4","2024-11-16","bc27fa490c4d0d525bac812fc0793534","#ByteDance #AI Image Generator","74cc6c2fb447da39a6e0441ca5799e20","article_res/cover/854c2b3bb73870e41cc5f2538767cb4b.jpeg","article_res/cover/fda04d80ee83788318da6f45beb28f5b.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},437,"918ebfe512e2a6c73f3d339e4fa6c381","2023-07-03","#AI Video Generator","5e2070335c4bef1f70c578810cf0cdb6","article_res/cover/563dc38b306379275d420c24750a763d.jpeg","article_res/cover/c5c379fa097d64acce93795d447b73fb.jpeg",{"id":275,"title_md5":276,"publish_date":277,"author_md5":261,"is_original":23,"collection":278,"summary_md5":279,"cover_url":280,"cover_url_1_1":281},159,"248dd6e4a24fadf8cbf9b2af9842bad8","2024-10-05","#AI Video Generator #Meta #AI Video Editor","07b54e7f8d863dd4a63548b9be016d5f","article_res/cover/9ef71241f1bd883f1b09e353139e324b.jpeg","article_res/cover/32e019ffdaf19f1a17ade55ec1caaf2f.jpeg",{"id":283,"title_md5":284,"publish_date":285,"author_md5":261,"is_original":23,"collection":286,"summary_md5":287,"cover_url":288,"cover_url_1_1":289},264,"aa59bd591f99fffe5f2a597ba9b78001","2024-05-26","#Google #DeepMind #Voe #Imagen3","84077d2339dc73b229e3dd8bfc829797","article_res/cover/cec3437d945bc384856e90bb19de83f4.jpeg","article_res/cover/3b1e6608a6260acbe0d48507dea22e26.jpeg",{"id":291,"title_md5":292,"publish_date":293,"author_md5":261,"is_original":4,"collection":294,"summary_md5":295,"cover_url":296,"cover_url_1_1":297},395,"2960555fa13097b505585a534ae1871b","2023-10-12","#OpenAI #Object Detection","3ea5d844c82ea70d55a056628c5ea009","article_res/cover/f8c5b597c95350dbc7e6de1c3eee53f3.jpeg","article_res/cover/6e0dcb7df22b801f602bdba9aaf25e0d.jpeg",{"id":299,"title_md5":300,"publish_date":301,"author_md5":261,"is_original":23,"collection":5,"summary_md5":302,"cover_url":303,"cover_url_1_1":304},428,"b9fbfc1cdf5562ebf9b15c45dc9292fb","2023-07-26","34dc41e69c3145a8ae8696a7ef3c2cb0","article_res/cover/514630961b2c09bf2757d6acc1e179a8.jpeg","article_res/cover/c62ad5c02b1d03312ded165d88c0d315.jpeg",{"id":306,"title_md5":307,"publish_date":308,"author_md5":261,"is_original":23,"collection":309,"summary_md5":310,"cover_url":311,"cover_url_1_1":312},284,"df06faf78334ae24ae423ef6625b6109","2024-05-04","#AI Index Report 2024","a53842d54fcd985f443a4a695022cb73","article_res/cover/cba905132168c996108de5af21120030.jpeg","article_res/cover/056d14bc0f7a1f12715fdd4ef9f261dc.jpeg",{"id":314,"title_md5":315,"publish_date":316,"author_md5":261,"is_original":23,"collection":317,"summary_md5":318,"cover_url":319,"cover_url_1_1":320},38,"d82e55a5cbaea8662fa0629b90b563a5","2025-02-15","#AI Audio Generator #Sony","a86d13a74d78f7c7f2603b87e10c083b","article_res/cover/9162fca94aab5d1117b99c23c206dc87.jpeg","article_res/cover/c5731cc285b5bd55087f7243fc8bad46.jpeg",{"related":322,"small":362},[323,330,339,347,355],{"id":324,"publish_date":325,"is_original":23,"collection":73,"cover_url":326,"cover_url_1_1":327,"title":328,"summary":329,"author":28},198,"2024-08-13","article_res/cover/873ffb7461c10e9f4d5e76ea3e1a8671.jpeg","article_res/cover/88e34eef77d060df18230b3307b1183d.jpeg","How Google DeepMind scientist Nicholas Carlini uses AI (Part 2) - Specific Examples","Evaluate what LLMs can do, not what they can't",{"id":331,"publish_date":332,"is_original":4,"collection":333,"cover_url":334,"cover_url_1_1":335,"title":336,"summary":337,"author":338},155,"2024-10-10","#History of Intelligence #Neuroscience","article_res/cover/10e1e9838c22fb47444422912cf8e145.jpeg","article_res/cover/dcfca8f9c278e98010611cbd5e1d69df.jpeg","【A Brief History of Intelligence】6. Speaking Language (Human)","What makes us humans unique is that we possess a \"rational soul\" — the ability to reason, think abstractly, and reflect.  \n-Aristotle","Notes on \"A Brief History of Intelligence\"",{"id":340,"publish_date":341,"is_original":23,"collection":342,"cover_url":343,"cover_url_1_1":344,"title":345,"summary":346,"author":28},235,"2024-06-25","#LLM #ControlNet","article_res/cover/59570bf9128ad980c576347da9ac0b5d.jpeg","article_res/cover/d3cf47b4520c2ac1753d6debb218d793.jpeg","The author of ControlNet's latest project Omost - using LLM for image synthesis","Your image is almost there!",{"id":348,"publish_date":349,"is_original":23,"collection":350,"cover_url":351,"cover_url_1_1":352,"title":353,"summary":354,"author":28},27,"2025-02-25","#Claude #Anthropic #LLM #Think","article_res/cover/cb055a3950605a1a7ba7163daa89f267.jpeg","article_res/cover/7533a64e36e80a49011564195a9d03fa.jpeg","Anthropic released this morning: Claude 3.7 Sonnet, Claude Code, Extended thinking","our most intelligent model to date and the first hybrid reasoning model on the market.",{"id":356,"publish_date":357,"is_original":4,"collection":48,"cover_url":358,"cover_url_1_1":359,"title":360,"summary":361,"author":28},387,"2023-10-23","article_res/cover/01e6f4e3614de64e2d3680f98049e627.jpeg","article_res/cover/60525f3b351be8900023039f6a21ce25.jpeg","Fooocus - The simplest prompt SD image generation","Fooocus - Focus on prompting and generating",[363,369,375],{"title":10,"list":364},[365,366,367,368],{"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":370},[371,372,373,374],{"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":376},[],[8,9,10],[8,12,13,14,9,10,15,16,17,18],["Reactive",245],1754646414873]