追风Lab .eth🌿
追风Lab .eth🌿|Feb 08, 2025 04:36
Recently, DeepSeek has become popular worldwide, and AI has always been the focus of various industries. Ai's popular project @ myshell_i has supported DeepSeek V3 and integrated DeepSeek R1 in just 4 hours. Becoming the fastest responding AI project in the BSC ecosystem and receiving recognition from CZ. The Zero Code mode makes it possible to create DeepSeek applications with just one click. 300+AI models are available for selection, encouraging everyone to learn AI application development. Myshell is committed to product innovation and supports BNBChain's vision of "AI First Chain". By 2025, it will focus on proxy tokenization. MyShell has received a total investment of $16 million from Binance, OKX, Dragonfly, and others. Currently, it has over 5 million registered users, 170000 creators on the platform, and has generated 200000 AI agents. MyShell is at the forefront of the Web3 AI platform, providing efficient solutions for users with advanced AI technology and offering creators diverse tools and monetization opportunities, occupying a first mover advantage. The platform continuously innovates and optimizes, strengthens its sustainable development capabilities, and enhances industry competitiveness. MyShell focuses on technological innovation and market demand, committed to building an eco-friendly platform to help participants achieve long-term value, promote breakthroughs in the AI field and the development of the Web3 industry, and demonstrate unique industry leadership. Below is a brief tutorial on using MyShell to build DeepSeek AI agents. Users can build intelligent applications based on the latest AI models (such as DeepSeek) without writing any code: 1、 Planning AI agent functionality Users only need to input the beginning of the story, DeepSeek will automatically generate subsequent story content, and the Flux model will generate corresponding illustrations based on the story. Users can choose to continue creating stories or start over. The entire process is simple and intuitive: users input content, AI generates stories and images, and users decide the next steps. 2、 Build ShellAgent Agent 1) Access ShellAgent cloud or on premises deployment platform. 2) Select MyShell Agent as the proxy type. 3) Set three context variables: 🔸 story: Used to store story text. 🔸 reply: Used to store AI generated replies. 🔸 image: Used to store illustrations generated by AI. 3、 AI generates content and interacts with users 1) After the user inputs the beginning of the story, AI will automatically process the content. 2) DeepSeek generates story text, and Flux generates corresponding illustrations. 3) Context variables will be automatically stored to ensure the coherence of the story. 4) After AI generates content, users can choose: 🔸 Continue writing the story: Let AI continue writing the story. 🔸 Restart: Clear the story content and reset. 4、 Connect status and deploy 1) Connect the states from story input to AI generation, and then to user selection of the next step to ensure a smooth and seamless process. 2) Finally, click Save and Deploy to officially launch the AI agent. 3) The completed AI agent can be directly deployed to the X platform, making it easy to share with more users. Novice users can directly select the template provided by Myshell and click save to quickly generate AI agents. Building AI Link: http://shellagent.myshell.ai
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