[{"data":1,"prerenderedAt":369},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fLOqNUhmo5Jrjs_ZRLaBoNkEV9KxJrgu-2QPTS80eIYE":245,"article-403":368},{"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":5,"articles_id":249,"cover_url":250,"cover_url_1_1":251,"title":252,"summary":253,"author":28,"content":254,"popular":255,"list":315,"category":366,"tag":367},403,"2023-09-29","5-GqCEX9qD6E6oX2rK-czQ","article_res/cover/28fda6a29bd71e2f82e42574426d8290.jpeg","article_res/cover/90eb3f193393274e627cca44cbc3d64c.jpeg","Langchain Math chain","Using LLMs and Python REPLs to solve complex word math problems.","\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;'>I previously shared PAL (Program-aided language model chain), and today let's look at a similar one - Math chain.\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;'>It mainly solves complex math word problems through LLMs and Python REPLs.\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;'>https://twitter.com/LangChainAI/status/1638218812536532992\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;'>This guy, vadym.eth (@vadymbarda), has optimized LLMMath.\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;'>I tried it out, and it works pretty well:\u003C/p>\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/17434959189170.6449103658804094.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 558px;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;'>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Installing necessary libraries\u003C/span>\u003Cbr>!pip -q install google.generativeai langchain\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Import necessary libraries\u003C/span>\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">import\u003C/span> os\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">import\u003C/span> google.generativeai \u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">as\u003C/span> palm\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">from\u003C/span> langchain.llms \u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">import\u003C/span> GooglePalm\u003Cbr>\u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">from\u003C/span> langchain.chains \u003Cspan style=\"color: rgb(198, 120, 221);line-height: 26px;\">import\u003C/span> LLMMathChain\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Configure API key for Google PaLM\u003C/span>\u003Cbr>os.environ[\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"GOOGLE_API_KEY\"\u003C/span>] = “API_KEY”\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Initialize GooglePalm with default settings\u003C/span>\u003Cbr>llm = GooglePalm()\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Set up the math solver using the GooglePalm instance\u003C/span>\u003Cbr>llm_math = LLMMathChain.from_llm(llm, verbose=\u003Cspan style=\"color: rgb(86, 182, 194);line-height: 26px;\">True\u003C/span>)\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Introduction message for the math solver\u003C/span>\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">\"Agent: I'd be happy to help you with your math problems. Could you please show me the word problem?\"\u003C/span>)\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Get the user's math problem\u003C/span>\u003Cbr>user_input = input(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">'User: '\u003C/span>)\u003Cbr>\u003Cbr>\u003Cspan style=\"color: rgb(92, 99, 112);font-style: italic;line-height: 26px;\"># Solve the provided math problem\u003C/span>\u003Cbr>answer = llm_math.run(user_input)\u003Cbr>print(\u003Cspan style=\"color: rgb(152, 195, 121);line-height: 26px;\">f\"Agent: \u003Cspan style=\"color: rgb(224, 108, 117);line-height: 26px;\">{answer}\u003C/span>\"\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;'>The final input is something like this:\u003C/p>\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>Agent\u003C/strong>: I'd be happy to help you with your math problems. Could you please show me the word problem?\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>User\u003C/strong>:  I have 77 houses, each with 31 cats. Each cat owns 14 mittens and 6 hats. Each mitten was knit from 141m of yarn, each hat from 55m. How much yarn was needed to make all the items?\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Entering new LLMMathChain chain...\u003C/strong>\u003C/p>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cem>I have 77 houses, each with 31 cats. Each cat owns 14 mittens and 6 hats. Each mitten was knit from 141m of yarn, each hat from 55m. How much yarn was needed to make all the items?\u003C/em>\u003C/p>\u003Cpre style=\"margin-top: 10px;margin-bottom: 10px;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='margin-bottom: -7px;display: block;background: url(\"./assets/17434959189170.6449103658804094.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 525px;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;'>141 * 14 * 31 * 77 + 55 * 6 * 31 * 77\u003Cbr>\u003Cbr>...numexpr.evaluate(\"141 * 14 * 31 * 77 + 55 > * 6 * 31 * 77\")...\u003Cbr>\u003C/code>\u003C/pre>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">Answer: \u003Cspan style=\"color: rgb(255, 169, 0);\">\u003Cstrong>5499648\u003C/strong>\u003C/span>\u003C/p>\u003Cblockquote 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;border-top: none;border-right: none;border-bottom: none;overflow: auto;background-image: initial;background-position: initial;background-size: initial;background-repeat: initial;background-attachment: initial;background-origin: initial;background-clip: initial;\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Finished chain.\u003C/strong>\u003Cstrong>Agent:\u003C/strong> Answer: 5499648\u003C/p>\u003C/blockquote>\u003C/blockquote>\u003Cp style=\"display: none;\">\u003Cmp-style-type 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