Sr. Director of Product at Aisera, Jigar brings 15+ years in enterprise AI, GenAI innovation, agentic automation and product-led growth. Enterprise AI is in the midst of a fundamental shift. The early ...

Effective prompt engineering can improve artificial intelligence (AI) output quality by up to 300%, according to reseach from Stanford University. If you're using ChatGPT, Claude, or other AI ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

OpenAI Unveils Curated Prompt Packs for Sales, IT, HR, Government and More - IT News Africa | Business Technology, Telecoms ...

Prompt engineering might sound like a fancy tech term reserved for AI developers. However, it’s fast becoming an essential skill for anyone who wants to work smarter and make their job more AI ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Artificial ...

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 technique in prompt ...

Artificial intelligence has already changed the way we work. Most people realize that within minutes of using it. Whether it's generating marketing copy, writing code, summarizing research or ...

What if you could unlock the full potential of artificial intelligence, not by coding, but simply by asking the right questions? Imagine crafting a single sentence that generates a detailed business ...

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).