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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article introduces practical methods for ...
Most ChatGPT users type a single question, scan the answer, and move on. That one-shot habit is the main reason so many AI responses feel generic or miss the mark. A growing body of research and ...
In a paper posted last week by Google's DeepMind unit, researchers Chengrun Yang and team created a program called OPRO that makes large language models try different prompts until they reach one that ...
Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...
In a recent study published in the journal npj Digital Medicine, a group of researchers examined the effectiveness of prompt engineering in improving the reliability and consistency of large language ...
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, ...