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).

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

What if building intelligent AI agents wasn’t a painstaking, time-consuming process but rather an intuitive, streamlined experience? For years, developers have wrestled with the complexities of ...

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 ...

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 ...