Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the age of artificial intelligence, ...

This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.

In the world of Large Language Models, the prompt has long been king. From meticulously designed instructions to carefully constructed examples, crafting the perfect prompt was a delicate art, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Chain-of-thought (CoT) prompting is a prompt engineering technique that aims to improve language models' performance on tasks requiring logic, calculation and decision-making by structuring the input ...

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 examine a new prompt engineering ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

As AI takes hold in the enterprise, Microsoft is educating developers with guidance for more complex use cases in order to get the best out of advanced, generative machine language models like those ...

In a world that is rapidly embracing large language models (LLMs), prompt engineering has emerged as a new skill to unlocking their full potential. Think of it as the language to speak with these ...