PDL: A Declarative Language for Smarter and Faster LLM Programming

Explore a comprehensive technical presentation introducing the Prompt Declaration Language (PDL), a YAML-based declarative language designed to revolutionize prompt programming for Large Language Models (LLMs). Learn how PDL addresses current prompting framework limitations by implementing a data-oriented structure that enables developers to create reusable prompt patterns for chaining, retrieval-augmented generation, and agent-based workflows. Discover the language's sophisticated features including control constructs, JSON Schema-based type-checking, and Jinja2 templating that facilitate the development of dynamic, context-driven applications. Examine practical implementations through detailed code examples of chatbots and RAG systems, while gaining insights into PDL's integration capabilities with various LLM platforms including IBM Granite 3.0 Models. Master advanced concepts in prompt engineering, from basic LLM intelligence to complex multi-agent systems, and understand how PDL's structured approach enhances prompt control, context management, and tool integration for more efficient and maintainable LLM applications.