[{"data":1,"prerenderedAt":381},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fyBbkFWeJ60xZmZCsW8jRsQmS_tTIFm8tSM9c7KaVvws":245,"article-455":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? 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":378,"tag":379},455,"2023-05-18","#AI 3D Generator","VOCL9BBAodyFXpxctwbxrw","article_res/cover/e3196d033c293aba1a85401ff4e0156a.jpeg","article_res/cover/520d7522a47d2d1153458ef7fa8118a0.jpeg","Shap-E 3D Generation","Shap·E generates the parameters of implicit functions that can be rendered as textured meshes and neural radiance fields","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Csection data-tool=\"mdnice编辑器\" data-website=\"https://www.mdnice.com\" style=\"font-size: 16px;color: black;padding: 0 10px;line-height: 1.6;word-spacing: 0px;letter-spacing: 0px;word-break: break-word;word-wrap: break-word;text-align: left;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, 'PingFang SC', Cambria, Cochin, Georgia, Times, 'Times New Roman', serif;\">\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Two weeks ago, OpenAI open-sourced Shap-E for 3D generation. The paper address is: https://arxiv.org/pdf/2305.02463.pdf\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Today, I will try it out using Colab:\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;padding: 0px;font-weight: bold;color: black;font-size: 22px;\">Installation\u003C/h2>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='display: block;background: url(\"./assets/17434960270850.6284181113493394.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 100%;margin-bottom: -7px;border-radius: 5px;'>\u003C/span>\u003Ccode style=\"overflow-x: auto;padding: 16px;color: #abb2bf;display: -webkit-box;font-family: Operator Mono, Consolas, Monaco, Menlo, monospace;font-size: 12px;-webkit-overflow-scrolling: touch;padding-top: 15px;background: #282c34;border-radius: 5px;\">!git clone https://github.com/openai/shap-e.git\u003Cbr>%cd shap-e\u003Cbr>!pip install -e .\u003Cbr>\u003C/code>\u003C/pre>\u003Ch2 data-tool=\"mdnice编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;padding: 0px;font-weight: bold;color: black;font-size: 22px;\">\u003Cspan style=\"display: none;\">\u003C/span>Text-3D\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Let's first generate a small car to see the effect.\u003C/p>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='display: block;background: url(\"./assets/17434960270850.6284181113493394.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 100%;margin-bottom: -7px;border-radius: 5px;'>\u003C/span>\u003Ccode style=\"overflow-x: auto;padding: 16px;color: #abb2bf;display: -webkit-box;font-family: Operator Mono, Consolas, Monaco, Menlo, monospace;font-size: 12px;-webkit-overflow-scrolling: touch;padding-top: 15px;background: #282c34;border-radius: 5px;\">\u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> torch\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.diffusion.sample \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> sample_latents\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.diffusion.gaussian_diffusion \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> diffusion_from_config\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.models.download \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> load_model, load_config\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.util.notebooks \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> create_pan_cameras, decode_latent_images, gif_widget\u003Cbr>\u003Cbr>device = torch.device(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'cuda'\u003C/span> \u003Cspan style=\"color: #c678dd;line-height: 26px;\">if\u003C/span> torch.cuda.is_available() \u003Cspan style=\"color: #c678dd;line-height: 26px;\">else\u003C/span> \u003Cspan style=\"color: #98c379;line-height: 26px;\">'cpu'\u003C/span>)\u003Cbr>xm = load_model(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'transmitter'\u003C/span>, device=device)\u003Cbr>model = load_model(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'text300M'\u003C/span>, device=device)\u003Cbr>diffusion = diffusion_from_config(load_config(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'diffusion'\u003C/span>))\u003Cbr>\u003Cbr>batch_size = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">4\u003C/span>\u003Cbr>guidance_scale = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">15.0\u003C/span>\u003Cbr>prompt = \u003Cspan style=\"color: #98c379;line-height: 26px;\">\"a car\"\u003C/span>\u003Cbr>\u003Cbr>latents = sample_latents(\u003Cbr>    batch_size=batch_size,\u003Cbr>    model=model,\u003Cbr>    diffusion=diffusion,\u003Cbr>    guidance_scale=guidance_scale,\u003Cbr>    model_kwargs=dict(texts=[prompt] * batch_size),\u003Cbr>    progress=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    clip_denoised=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    use_fp16=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    use_karras=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    karras_steps=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">64\u003C/span>,\u003Cbr>    sigma_min=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">1e-3\u003C/span>,\u003Cbr>    sigma_max=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">160\u003C/span>,\u003Cbr>    s_churn=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">0\u003C/span>,\u003Cbr>)\u003Cbr>\u003Cbr>render_mode = \u003Cspan style=\"color: #98c379;line-height: 26px;\">'nerf'\u003C/span>  \u003Cspan style=\"color: #5c6370;font-style: italic;line-height: 26px;\"># you can change this to 'stf'\u003C/span>\u003Cbr>size = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">64\u003C/span>  \u003Cspan style=\"color: #5c6370;font-style: italic;line-height: 26px;\"># this is the size of the renders; higher values take longer to render.\u003C/span>\u003Cbr>\u003Cbr>cameras = create_pan_cameras(size, device)\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">for\u003C/span> i, latent \u003Cspan style=\"color: #c678dd;line-height: 26px;\">in\u003C/span> enumerate(latents):\u003Cbr>    images = decode_latent_images(xm, latent, cameras, rendering_mode=render_mode)\u003Cbr>    display(gif_widget(images))\u003Cbr>\u003C/code>\u003C/pre>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">\u003Cbr>\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960263110.10249236599409683.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960261170.3537444026955514.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960261370.18193390060033376.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960261120.3460024537364277.gif\">\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Of course, you can also generate other things, you can refer to the various samples provided by the official source.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">https://github.com/openai/shap-e/blob/main/samples.md\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.1407407407407408\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17434960263060.573021708369104.png\">\u003C/p>\u003Cbr>\u003Cp>\u003Cbr>\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">The generated 3D model can be downloaded and saved in .ply format by running this script:\u003C/p>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='display: block;background: url(\"./assets/17434960270850.6284181113493394.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 100%;margin-bottom: -7px;border-radius: 5px;'>\u003C/span>\u003Ccode style=\"overflow-x: auto;padding: 16px;color: #abb2bf;display: -webkit-box;font-family: Operator Mono, Consolas, Monaco, Menlo, monospace;font-size: 12px;-webkit-overflow-scrolling: touch;padding-top: 15px;background: #282c34;border-radius: 5px;\">\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.util.notebooks \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> decode_latent_mesh\u003Cbr>\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">for\u003C/span> i, latent \u003Cspan style=\"color: #c678dd;line-height: 26px;\">in\u003C/span> enumerate(latents):\u003Cbr>    \u003Cspan style=\"color: #c678dd;line-height: 26px;\">with\u003C/span> open(\u003Cspan style=\"color: #98c379;line-height: 26px;\">f'example_mesh_\u003Cspan style=\"color: #e06c75;line-height: 26px;\">{i}\u003C/span>.ply'\u003C/span>, \u003Cspan style=\"color: #98c379;line-height: 26px;\">'wb'\u003C/span>) \u003Cspan style=\"color: #c678dd;line-height: 26px;\">as\u003C/span> f:\u003Cbr>        decode_latent_mesh(xm, latent).tri_mesh().write_ply(f)\u003Cbr>\u003C/code>\u003C/pre>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Afterwards, the .ply file will be stored under the shap-e folder, right-click to download and save it locally.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">\u003Cbr>\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.040169133192389\" data-s=\"300,640\" data-type=\"png\" data-w=\"946\" style=\"\" src=\"./assets/17434960268570.8354679177340771.png\">\u003C/p>\u003Cbr>\u003Cp>\u003Cbr>\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;padding: 0px;font-weight: bold;color: black;font-size: 22px;\">\u003Cspan style=\"display: none;\">\u003C/span>Image-3D\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">If you have an image, Shap-E can help you turn it into a 3D model.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Upload the image to the shap-e folder.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.9393939393939394\" data-s=\"300,640\" data-type=\"png\" data-w=\"792\" style=\"\" src=\"./assets/17434960265280.9609587662704375.png\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Run the script:\u003C/p>\u003Cpre data-tool=\"mdnice编辑器\" style=\"margin-top: 10px;margin-bottom: 10px;border-radius: 5px;box-shadow: rgba(0, 0, 0, 0.55) 0px 2px 10px;\">\u003Cspan style='display: block;background: url(\"./assets/17434960270850.6284181113493394.svg\") 10px 10px / 40px no-repeat rgb(40, 44, 52);height: 30px;width: 100%;margin-bottom: -7px;border-radius: 5px;'>\u003C/span>\u003Ccode style=\"overflow-x: auto;padding: 16px;color: #abb2bf;display: -webkit-box;font-family: Operator Mono, Consolas, Monaco, Menlo, monospace;font-size: 12px;-webkit-overflow-scrolling: touch;padding-top: 15px;background: #282c34;border-radius: 5px;\">\u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> torch\u003Cbr>\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.diffusion.sample \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> sample_latents\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.diffusion.gaussian_diffusion \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> diffusion_from_config\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.models.download \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> load_model, load_config\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.util.notebooks \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> create_pan_cameras, decode_latent_images, gif_widget\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">from\u003C/span> shap_e.util.image_util \u003Cspan style=\"color: #c678dd;line-height: 26px;\">import\u003C/span> load_image\u003Cbr>\u003Cbr>device = torch.device(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'cuda'\u003C/span> \u003Cspan style=\"color: #c678dd;line-height: 26px;\">if\u003C/span> torch.cuda.is_available() \u003Cspan style=\"color: #c678dd;line-height: 26px;\">else\u003C/span> \u003Cspan style=\"color: #98c379;line-height: 26px;\">'cpu'\u003C/span>)\u003Cbr>\u003Cbr>xm = load_model(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'transmitter'\u003C/span>, device=device)\u003Cbr>model = load_model(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'image300M'\u003C/span>, device=device)\u003Cbr>diffusion = diffusion_from_config(load_config(\u003Cspan style=\"color: #98c379;line-height: 26px;\">'diffusion'\u003C/span>))\u003Cbr>\u003Cbr>batch_size = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">4\u003C/span>\u003Cbr>guidance_scale = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">3.0\u003C/span>\u003Cbr>\u003Cbr>image = load_image(\u003Cspan style=\"color: #98c379;line-height: 26px;\">\"car.png\"\u003C/span>)\u003Cbr>\u003Cbr>latents = sample_latents(\u003Cbr>    batch_size=batch_size,\u003Cbr>    model=model,\u003Cbr>    diffusion=diffusion,\u003Cbr>    guidance_scale=guidance_scale,\u003Cbr>    model_kwargs=dict(images=[image] * batch_size),\u003Cbr>    progress=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    clip_denoised=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    use_fp16=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    use_karras=\u003Cspan style=\"color: #56b6c2;line-height: 26px;\">True\u003C/span>,\u003Cbr>    karras_steps=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">64\u003C/span>,\u003Cbr>    sigma_min=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">1e-3\u003C/span>,\u003Cbr>    sigma_max=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">160\u003C/span>,\u003Cbr>    s_churn=\u003Cspan style=\"color: #d19a66;line-height: 26px;\">0\u003C/span>,\u003Cbr>)\u003Cbr>\u003Cbr>render_mode = \u003Cspan style=\"color: #98c379;line-height: 26px;\">'nerf'\u003C/span> \u003Cspan style=\"color: #5c6370;font-style: italic;line-height: 26px;\"># you can change this to 'stf' for mesh rendering\u003C/span>\u003Cbr>size = \u003Cspan style=\"color: #d19a66;line-height: 26px;\">64\u003C/span> \u003Cspan style=\"color: #5c6370;font-style: italic;line-height: 26px;\"># this is the size of the renders; higher values take longer to render.\u003C/span>\u003Cbr>\u003Cbr>cameras = create_pan_cameras(size, device)\u003Cbr>\u003Cspan style=\"color: #c678dd;line-height: 26px;\">for\u003C/span> i, latent \u003Cspan style=\"color: #c678dd;line-height: 26px;\">in\u003C/span> enumerate(latents):\u003Cbr>    images = decode_latent_images(xm, latent, cameras, rendering_mode=render_mode)\u003Cbr>    display(gif_widget(images))\u003Cbr>\u003C/code>\u003C/pre>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Thus, the 3D model based on this image is generated.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">\u003Cbr>\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960265510.223488870596938.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960264900.8549305583901694.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960265660.28554779578959244.gif\">\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"gif\" data-w=\"64\" style=\"\" src=\"./assets/17434960265150.28189510516390737.gif\">\u003C/p>\u003Cbr>\u003Cp>\u003Cbr>\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Although it's ugly enough to make one cry, we believe that the wisdom of the open-source community will gradually iterate this AI tool.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">It feels like all the work is going to be taken over by AI, so what should us humans do?👇\u003C/p>\u003C/section>\u003Cp>\u003Cbr>\u003C/p>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,266,274,283,291,299,306,314],{"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},18,"838d1395c65767af85fec980ac9f3bb8","2025-03-05","bc27fa490c4d0d525bac812fc0793534","#AI Stock #LLM #AI Agents","2dc8164149c434a3907ded4605b65637","article_res/cover/4ab06a737f424174b566860de6a8f152.jpeg","article_res/cover/616077e8acb0c8a79d93f4b08a9cbdd1.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},31,"ce89caabee1e81210e6c76703c53057e","2025-02-22","#Deep Dive into LLMs #Andrej Karpathy #Tool Use #LLM","d5d17613a7f53d516ed352aae1a32621","article_res/cover/5467e5c1727674928e485404ba7c640d.jpeg","article_res/cover/d568c185751166507743b4f1353ec06a.jpeg",{"id":275,"title_md5":276,"publish_date":277,"author_md5":278,"is_original":4,"collection":279,"summary_md5":280,"cover_url":281,"cover_url_1_1":282},493,"a7f6e670718453a24ecfff22405d05f1","2023-04-01","9f3428c4d2d88afac6a16510d115e41c","#Stable Diffusion #AI Image Generator","610a6de7c555d931adbba021fe5b793e","article_res/cover/0ef5d345d425042849a0c40c833969fd.jpeg","article_res/cover/0efd2005536372e1f9fa78e760d3ae49.jpeg",{"id":284,"title_md5":285,"publish_date":286,"author_md5":261,"is_original":23,"collection":287,"summary_md5":288,"cover_url":289,"cover_url_1_1":290},19,"c691c853edd476a6c5778456b75fd8de","2025-03-04","#GRPO #Deepseek #RL #PPO","d2992fb8934580965459adfaa668860c","article_res/cover/21282be29e13c8b56c80b5a83646bb27.jpeg","article_res/cover/d78738a5736e0aa47fef68a3c1b4f08f.jpeg",{"id":292,"title_md5":293,"publish_date":294,"author_md5":295,"is_original":4,"collection":5,"summary_md5":296,"cover_url":297,"cover_url_1_1":298},513,"4bd18446d477b97bd0c1d848b0bc355e","2022-06-24","8b3607d0f4181a3cb6ffdccf7185f09b","51980e3c4fe120760b1b37c7d42cc1c8","article_res/cover/7f38c4c22e1e55447a7082cf3b2127b1.jpeg","article_res/cover/98f91218af4907c5811e91490f822ec2.jpeg",{"id":300,"title_md5":301,"publish_date":302,"author_md5":261,"is_original":23,"collection":5,"summary_md5":303,"cover_url":304,"cover_url_1_1":305},428,"b9fbfc1cdf5562ebf9b15c45dc9292fb","2023-07-26","34dc41e69c3145a8ae8696a7ef3c2cb0","article_res/cover/514630961b2c09bf2757d6acc1e179a8.jpeg","article_res/cover/c62ad5c02b1d03312ded165d88c0d315.jpeg",{"id":307,"title_md5":308,"publish_date":309,"author_md5":261,"is_original":23,"collection":310,"summary_md5":311,"cover_url":312,"cover_url_1_1":313},230,"2700effd8148411db487e01e22500d9c","2024-07-03","#AI Video Generator","7b90e56d79cc9896fe5cc115bf76ecf8","article_res/cover/cb99534c58c625dca7891a6293186620.jpeg","article_res/cover/c0329f1fab81e9034fa89c5cb51ff145.jpeg",{"id":315,"title_md5":316,"publish_date":317,"author_md5":295,"is_original":4,"collection":5,"summary_md5":318,"cover_url":319,"cover_url_1_1":320},534,"80e31f27ce48e2a3940fc59930bb7eef","2022-05-22","8e7d5bfc6c8db879b1ab5ace9ffdc46d","article_res/cover/0ebfe9c490974ead7e3dfd58e9c6bb07.jpeg","article_res/cover/53265d43b8157200837007872bfbef0b.jpeg",{"related":322,"small":363},[323,331,339,347,355],{"id":324,"publish_date":325,"is_original":23,"collection":326,"cover_url":327,"cover_url_1_1":328,"title":329,"summary":330,"author":28},325,"2024-02-22","#Google #LLM #Gemini #MOE","article_res/cover/ae3de1c7936640b6c056030382d65ab8.jpeg","article_res/cover/8fc85ba43164de2c7e213f77d395bcb9.jpeg","Gemini 1.5 - The latest highlights of Google's LLM","Longer context windows show us the promise of what is possible.",{"id":332,"publish_date":333,"is_original":23,"collection":334,"cover_url":335,"cover_url_1_1":336,"title":337,"summary":338,"author":28},245,"2024-06-15","#AI Avatar #Lip Sync #Microsoft","article_res/cover/84f9ab371a1d96b813be02f4d2a1f9a5.jpeg","article_res/cover/15f3e201a2109dee1e18131da6518084.jpeg","VASA-1 Microsoft's Realistic Audio-Driven Talking Faces in Real Time","VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time",{"id":340,"publish_date":341,"is_original":23,"collection":342,"cover_url":343,"cover_url_1_1":344,"title":345,"summary":346,"author":28},199,"2024-08-12","#Google #DeepMind","article_res/cover/f196f0eec7f130d7e901af021d1df0e2.jpeg","article_res/cover/df6f0fbdbeead8929bf3d6e5b876612f.jpeg","How Google DeepMind scientist Nicholas Carlini uses AI (Part 1)","All I'll be talking about is whether or not the models, as they exist now, are useful.",{"id":348,"publish_date":349,"is_original":23,"collection":350,"cover_url":351,"cover_url_1_1":352,"title":353,"summary":354,"author":28},147,"2024-10-22","#State of AI Report 2024 #AI Game #AI Agent","article_res/cover/d58dfe25c3723bd44d30cb29d48b77d3.jpeg","article_res/cover/8b34159832caf1ca2b3cdcf25ba4d32f.jpeg","\"State of AI Report 2024\" (3) - AI research in gaming agents, code testing, and enterprise automation fields","Enterprise automation set to get an AI-first upgrade",{"id":356,"publish_date":357,"is_original":23,"collection":358,"cover_url":359,"cover_url_1_1":360,"title":361,"summary":362,"author":28},212,"2024-07-23","#AI Virtual Try-On #Tencent","article_res/cover/4b843969ae2bdf19e55f75c824be7d4f.jpeg","article_res/cover/762ea863dd1d1fa32990288b476313c5.jpeg","IMAGDressing","IMAGDressing: Interactive Modular Apparel Generation for Virtual Dressing",[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],1754646410786]