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 ...

Experimenting with how to fine-tune prompts for a variety of LLMs, researchers have found that another LLM can do a better job than a human prompt engineer in certain circumstances. With prompt ...

OpenAI’s GPT-5.5 has been released with stronger coding and writing skills, showing marked improvements over prior models in structured tasks. Its debut coincides with heightened concern over indirect ...