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Developers urged to use XML tags over JSON mode for LLM outputs

Developers are advised to use structured XML tags instead of JSON mode for LLM outputs, as XML offers better resilience against model migrations and streaming issues. This approach provides a more robust contract between the prompt and the model, ensuring consistency in data extraction and formatting. The author suggests a specific XML skeleton structure for prompts, detailing sections for role, format, refusal policies, and examples, which can be more reliable than prose-based instructions. AI

IMPACT Adopting XML tags for LLM outputs can improve data extraction reliability and streaming performance, leading to more robust AI applications.

RANK_REASON The article provides advice and best practices for prompt engineering, discussing the merits of XML tags over JSON mode for LLM outputs.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Developers urged to use XML tags over JSON mode for LLM outputs

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Gabriel Anhaia ·

    System Prompt Skeletons That Survive Every Model Migration

    <ul> <li> <strong>Book:</strong> <a href="https://www.amazon.com/dp/B0GX38N645" rel="noopener noreferrer">Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs</a> </li> <li> <strong>Also by me:</strong> <em>Thinking in Go</em> (2-book series) — <a href="http…

  2. dev.to — LLM tag TIER_1 English(EN) · Gabriel Anhaia ·

    Stop Using JSON Mode for Structured Output. XML Tags Win 4 of 5 Cases.

    <ul> <li> <strong>Book:</strong> <a href="https://www.amazon.com/dp/B0GX38N645" rel="noopener noreferrer">Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs</a> </li> <li> <strong>Also by me:</strong> <em>Thinking in Go</em> (2-book series) — <a href="http…