PromptPex: Automatic Test Generation for Language Model Prompts
#PromptPex #Large Language Models #LLM #Automated Testing #Prompt Engineering #arXiv #Software Development
📌 Key Takeaways
- PromptPex is a new framework designed for the automated testing of natural language prompts used in software applications.
- The research argues that prompts should be treated as functional code-like artifacts rather than simple text inputs.
- Traditional software testing methods are often insufficient for the non-deterministic nature of modern Large Language Models.
- Automated test generation helps ensure AI reliability during model updates and version changes.
📖 Full Retelling
🏷️ Themes
Artificial Intelligence, Software Engineering, Quality Assurance
📚 Related People & Topics
Large language model
Type of machine learning model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) that provide the c...
Prompt engineering
Structuring text as input to generative artificial intelligence
Prompt engineering is the process of structuring natural language inputs (known as prompts) to produce specified outputs from a generative artificial intelligence (GenAI) model. Context engineering is the related area of software engineering that focuses on the management of non-prompt contexts supp...
🔗 Entity Intersection Graph
Connections for Large language model:
- 🌐 Reinforcement learning (7 shared articles)
- 🌐 Machine learning (5 shared articles)
- 🌐 Theory of mind (2 shared articles)
- 🌐 Generative artificial intelligence (2 shared articles)
- 🌐 Automation (2 shared articles)
- 🌐 Rag (2 shared articles)
- 🌐 Scientific method (2 shared articles)
- 🌐 Mafia (disambiguation) (1 shared articles)
- 🌐 Robustness (1 shared articles)
- 🌐 Capture the flag (1 shared articles)
- 👤 Clinical Practice (1 shared articles)
- 🌐 Wearable computer (1 shared articles)
📄 Original Source Content
arXiv:2503.05070v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are being used in many applications and prompts for these models are integrated into software applications as code-like artifacts. These prompts behave much like traditional software in that they take inputs, generate outputs, and perform some specific function. However, prompts differ from traditional code in many ways and require new approaches to ensure that they are robust. For example, unlike traditional