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).

From deep research to image generation, better prompts unlock better outcomes. Follow my step-by-step guide for the best results.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I am continuing my ongoing coverage of ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Sometimes less is more. Another oft-used proverb is that at ...

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 ...

Prompt engineering is the process of crafting inputs, or prompts, to a generative AI system that lead to the system producing better outputs. That sounds simple on the surface, but because LLMs and ...

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 ...

Intent engineering aligns AI agents with business goals and values; autonomy may rise by 2028, outcomes stay tied to strategy. Context engineering ...

Stop overthinking prompts ...

With all the super-duper global excitement about AI, especially among content marketers, you will likely hear the word “prompt” repeatedly. Prompts, the key instruction for large language models, are ...