What’s the best tech stack for AI app development?
The article discusses the best tech stack for developing AI applications, emphasizing the unique requirements of AI compared to traditional web stacks. It highlights that frameworks like Python, JavaScript, and TypeScript are more compatible with AI workflows, while stacks like Flutter and Swift can introduce complications. The piece also outlines the essential layers of an AI stack, including application, backend, orchestration, and retrieval layers.
- ▪AI applications require a different tech stack than traditional web applications.
- ▪Python, JavaScript, and TypeScript are recommended for AI workflows due to their compatibility with LLMs.
- ▪Using non-AI-friendly stacks like Flutter or Swift can lead to structural errors in AI applications.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 635377) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Oyedele Temitope for Hackmamba Posted on May 22 What’s the best tech stack for AI app development? #ai #llm #architecture #programming When you begin building an AI application, you rarely pause to consider which stack you should use. The familiar tools come first to your mind. You reach for the frameworks you already know, add a managed database, wire in a model API, and you have something working.
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