Bắt LLM trả JSON đúng chuẩn: ba lớp và vòng repair
It appears that the content you provided contains website UI/template errors rather than the actual tech article about LLMs and JSON formatting.
However, based on your title “Bắt LLM trả JSON đúng chuẩn: ba lớp và vòng repair” (Getting LLMs to return standard-compliant JSON: three layers and a repair loop), I have drafted a professional introduction for you in the requested bilingual format.
Title: Bắt LLM trả JSON đúng chuẩn: ba lớp và vòng repair
Title: Getting LLMs to Return Standard-Compliant JSON: Three Layers and a Repair Loop
Ensuring that Large Language Models (LLMs) consistently output valid JSON is a common challenge for developers. To achieve high reliability, we can implement a robust architecture consisting of three distinct layers combined with an automated repair loop.
确保大语言模型（LLM）稳定输出符合标准的 JSON 格式是开发者面临的常见挑战。为了实现高可靠性，我们可以构建一个包含三个不同层级并结合自动修复循环的稳健架构。
The first layer involves prompt engineering, where we explicitly instruct the model to adhere to a strict schema. The second layer utilizes output parsing libraries to validate the structure, while the third layer acts as a fallback mechanism. If the output fails validation, the system triggers a repair loop, feeding the error back to the LLM to correct its own mistake.
第一层涉及提示词工程（Prompt Engineering），我们明确指示模型遵循严格的架构。第二层利用输出解析库来验证结构，而第三层则作为兜底机制。如果输出未通过验证，系统将触发修复循环，将错误信息反馈给 LLM，让其自行修正错误。
Note: If you have the specific text of the article you intended to share, please paste it, and I will be happy to format it for you immediately!