📄 中文摘要
在构建ElmapiCMS的过程中,开发者意识到大多数CMS平台仅仅通过添加一个“生成文本”按钮来实现AI集成,而未能深入利用AI的潜力。为此,开发者决定将CMS本身转变为AI原生的系统。通过使AI了解集合名称、字段标签、现有字段值和区域设置,生成的内容能够更好地反映数据模型的实际结构。这一小的变化显著提升了生成内容的质量和相关性。
📄 English Summary
I turned my headless CMS into an AI-native CMS. Here’s what happened.
The developer of ElmapiCMS recognized that most CMS platforms were merely adding a 'Generate text' button for AI integration, failing to leverage AI's full potential. To address this, the developer transformed the CMS into an AI-native system. By making the AI aware of collection names, field labels, existing field values, and locales, the generated content is now influenced by the actual structure of the data model. This small shift has significantly improved the quality and relevance of the generated content.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等