Most people try to improve AI responses by rewriting their prompt. I tried one simple follow-up instead — and it changed ...
One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the ...
One free checker scores your prompt on 15 principles from OpenAI and Anthropic, helping you write precise guidance that saves ...
What if the secret to unlocking the full potential of AI wasn’t in the technology itself, but in how we communicate with it? With the rise of advanced models like Claude 4, the way we phrase our ...
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 ...
Generative AI tools that answer questions or produce images based on text input have become commonplace, and as we all know, the results that they deliver depend heavily on the way that the prompt is ...
The AICPA A&A Focus webcast on Nov. 5 once again delivered a blend of cutting-edge technology discussion and practical implementation insights for practitioners navigating today’s assurance ...
Not every AI prompt deserves multiple seconds of thinking: how Meta is teaching models to prioritize
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Reasoning models like OpenAI o1 and ...
Generative AI tools have become hugely popular but some experts worry about the effect they have on the brain.
Every day, millions of people input prompts (whether questions or instructions) into AI tools such as ChatGPT, Perplexity, Claude, DALL-E, or Meta AI. Recently, media coverage highlighted what seemed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback