Summary of Pdl: a Declarative Prompt Programming Language, by Mandana Vaziri et al.
PDL: A Declarative Prompt Programming Language
by Mandana Vaziri, Louis Mandel, Claudio Spiess, Martin Hirzel
First submitted to arxiv on: 24 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Programming Languages (cs.PL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract introduces the Prompt Declaration Language (PDL), a simple declarative data-oriented language designed for controlling large language models (LLMs) with textual prompts. The LLMs are controlled via expressive textual prompts and return textual answers, but this unstructured text-based input and output makes applications brittle. To overcome this, PDL puts prompts at the forefront, using YAML as its foundation. PDL works well with various LLM platforms and models, enabling the development of interactive applications like chatbots, RAG agents, or tools that call LLMs. The goal is to simplify prompt programming, making it less brittle and more enjoyable. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new language called Prompt Declaration Language (PDL). It’s a special way to talk to large language models using text prompts. Right now, these models can get confused when given weird or unclear prompts. PDL makes it easier for people to use these models by letting them write clear and simple instructions for what they want the model to do. This is helpful for building things like chatbots that can have conversations with people. |
Keywords
» Artificial intelligence » Prompt » Rag
