If you’ve ever studied a second language, you’ll probably agree: the more you learn, the more you realize there is to learn. The process can be frustrating, like a spool of thread rolling out before ...

Conversational-amplified prompt engineering (CAPE) is increasingly being utilized by savvy users of generative AI and large language models (LLMs). In today’s column, I showcase a 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 ...

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 ...

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 ...

But to get the most out of artificial intelligence, you need to know how to talk to it. Even just figuring out how to start may feel a little overwhelming. Or maybe you’ve been playing around with it, ...

When ChatGPT first launched and went viral, some common sentiments around the tool were that it was a shortcut to doing real work. Anybody could type in a few sentences and get text back that they ...

Let’s break it down. A “prompt” is a command given to elicit a response. An “engineer” is someone who builds things—whether that’s bridges or software. In the generative AI space, then, a prompt ...

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 ...

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, ...

The evolution of AI has enabled the development of sophisticated large language models (LLMs) capable of ingesting, processing and delivering an enormous amount of detailed information to human users.

Prompt engineering optimizes what an AI says; loop engineering controls how an AI works.Reliable loops require verification, useful feedba ...