New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

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 explore an innovative design approach ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

What Is Chain of Thought (CoT)? Chain of Thought reasoning is a method designed to mimic human problem-solving by breaking down complex tasks into smaller, logical steps. This approach has proven ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) show remarkable capabilities in solving ...

The field of AI application development has witnessed remarkable advancements in recent years, with multi-stage systems like Chain of Thought reasoning emerging as a crucial approach. This method, ...

Researchers discovered a way to defeat the safety guardrails in GPT4 and GPT4-Turbo, unlocking the ability to generate harmful and toxic content, essentially beating a large language model with ...

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Microsoft published a research study that demonstrates how advanced prompting techniques can cause a generalist AI like GPT-4 to perform as well as or better than a specialist AI that is trained for a ...

Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...