TRADITIONAL SOFTWARE responds predictably to instructions. “Generative” artificial-intelligence (AI) models, such as that used by ChatGPT, are different: they respond to requests written in everyday ...

Prompt engineering has emerged as a critical tool to refine AI outputs, but existing techniques are fragmented and lack a cohesive structure. The research team, led by Professor Feng Zhang from Renmin ...

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

A new framework called “ell” has emerged as a fantastic option in simplifying prompt engineering with large language models. Developed by William Gus, this lightweight and efficient tool is designed ...

Prompt engineering is the key to unlocking accurate, relevant, and actionable AI responses. By structuring clear instructions, providing context, and breaking down tasks, you can drastically improve ...

Prompt engineering has become a structured approach that significantly improves AI output quality. By applying clear, context-rich, and well-organized instructions, users can guide models toward ...

In a world that is rapidly embracing large language models (LLMs), prompt engineering has emerged as a new skill to unlocking their full potential. Think of it as the language to speak with these ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model Both CoT and double filtering technique (DFT) achieved 94% accuracy, ...