Local models work best when you meet them halfway ...

A new study published by TELUS Digital, The Robustness Paradox: Why Better Actors Make Riskier Agents, finds that the use of ...

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 have put together a comprehensive ...

Prompt engineering is a critical aspect of working with language models. It involves optimizing prompts to get the best response from a language model. This process is not as straightforward as it may ...

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 ...

In a word, it's the prompt. Today's large language models (LLMs) are reactive machines that respond to your provocation. At its core, prompting involves the delicate task of formulating questions or ...

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

This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. Model providers continue to roll out ...

Anthropic's Opus 4.6 system card breaks out prompt injection attack success rates by surface, attempt count, and safeguard ...

First, the good news: it is now possible to develop programs, illustrations, or extract AI output with plain-spoken English prompting, versus the need to write code in Python, R, or SQL. Now, the ...

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 ...