POML (Prompt Orchestration Markup Language) is a markup language developed by Microsoft specifically for large-scale language model (LLM) prompt word engineering. Its core advantages are reflected in four areas:
- Structured organization: Using HTML-like tag syntax (e.g., , ), complex prompts have a clear modular division, which solves the problem that traditional text prompts are difficult to maintain.
- multimodal support: By<document>,<table>Specialized components, such as text, tables, pictures and other external data can be directly embedded, which is difficult to achieve ordinary text prompts.
- Dynamic generation capacity: The built-in template engine supports variables, loops and conditional judgments (e.g., {{variable}}, tags), and can dynamically generate prompted content based on data.
- development toolchain: Provide VS Code plug-ins (with syntax highlighting, real-time preview) and Python/Node.js SDK, dramatically improving development efficiency.
Together, these features address the pain points of traditional cue word engineering such as confusing formats, difficulty in reuse, and lack of standardized tools.
This answer comes from the articlePOML: A Novel Markup Language for Orchestrating and Managing Large Model Prompt WordsThe
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