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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 prompt engineering ...
Recent industry guides and research highlight structured prompt design as key to improving large language model (LLM) reliability, efficiency, and safety. Techniques such as decomposition, reusable ...
Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
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 ...
New research from Carnegie Mellon and Penn State shows large language models can emulate human cognitive styles when trained on Adaption-Innovation Theory, producing solutions tailored to adaptive or ...
When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the ...
In a paper posted last week by Google's DeepMind unit, researchers Chengrun Yang and team created a program called OPRO that makes large language models try different prompts until they reach one that ...
Discover how to audit and prune your LLM harness to achieve up to six times better performance without changing models.
Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...
In today’s column, I examine a new prompt engineering technique that tries to solve a longstanding difficulty underlying the use of generative AI and large language models (LLMs) when trying to ...
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