Writing accurate prompts can sometimes take considerable time and effort. Automated prompt engineering has emerged as a critical aspect in optimizing the performance of large language models (LLMs).

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 ...

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 ...