1import{_ as t}from"./gzh-qrcode-BulQcYr8.js";import{_ as o,c as a,b as n,o as s}from"./app-BNAFTfp7.js";const r={};function i(l,e){return s(),a("div",null,[...e[0]||(e[0]=[n('<h1 id="about" tabindex="-1"><a class="header-anchor" href="#about"><span>About</span></a></h1><p>Welcome to Wensi AI Product Notes!</p><h2 id="about-this-blog" tabindex="-1"><a class="header-anchor" href="#about-this-blog"><span>About This Blog</span></a></h2><p>Wensi AI Product Notes is a personal blog focused on AI-related content, recording and sharing:</p><ul><li>ð¤ <strong>AI Programming</strong>: Practices and techniques of AI-assisted programming</li><li>ðï¸ <strong>AI Architecture</strong>: AI system architecture design and engineering practices</li><li>ð <strong>AI Ecosystem</strong>: AI industry dynamics and technology trends</li><li>ð§ <strong>AI Models</strong>: Principles and applications of large language models</li><li>ð <strong>Multi-dimensional Tables</strong>: Data management and collaboration tools</li><li>ð¼ <strong>AI Entrepreneurship</strong>: Thoughts and experiences on the entrepreneurship journey</li><li>ð¯ <strong>AI Landing Cases</strong>: Real AI application practices</li><li>ð <strong>Personal Products</strong>: Personally developed AI-related products</li><li>â <strong>Problem Set</strong>: Problems encountered in development and solutions</li></ul><h2 id="contact" tabindex="-1"><a class="header-anchor" href="#contact"><span>Contact</span></a></h2><ul><li><strong>Website</strong>: <a href="https://wensi.ai" target="_blank" rel="noopener noreferrer">wensi.ai</a></li><li><strong>WeChat Official Account</strong>: ææAI产åç¬è®°</li></ul><div class="qrcode-section"><h3 id="ð±-follow-our-wechat-account" tabindex="-1"><a class="header-anchor" href="#ð±-follow-our-wechat-account"><span>ð± Follow Our WeChat Account</span></a></h3><p><img src="'+t+'" alt="WeChat QR Code"></p><p>Scan the QR code to follow "ææAI产åç¬è®°" WeChat Official Account for more AI-related content and updates.</p></div><h2 id="about-the-author" tabindex="-1"><a class="header-anchor" href="#about-the-author"><span>About the Author</span></a></h2><p>Focused on the application and practice of AI technology, exploring the possibilities of AI in different fields.</p><hr><p><em>Continuously updating, welcome to follow!</em></p>',12)])])}const h=o(r,[["render",i]]),u=JSON.parse('{"path":"/en/about/","title":"About","lang":"en-US","frontmatter":{"title":"About","description":"Wensi AI Product Notes - About the author and this blog","lang":"en-US"},"git":{"updatedTime":1765547913000,"contributors":[{"name":"wsyx","username":"","email":"[email protected]","commits":1}],"changelog":[{"hash":"15ad7bf90cdc7715a2981f381a10199af20be840","time":1765547913000,"email":"[email protected]","author":"wsyx","message":"gpt5.2åå¸"}]},"filePathRelative":"en/about/README.md"}');export{h as comp,u as data};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.