Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether prompt engineering improves their accuracy and alignment with expert reasoning.
Abstract: Advancements in large language models (LLMs) have led to a surge of prompt engineering (PE) techniques that can enhance various requirements engineering (RE) tasks. However, current LLMs are ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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You have probably heard people talk about artificial intelligence tools like ChatGPT, Claude, or Google Gemini. Maybe you have even tried one yourself. You type something in, the AI responds, and ...
Prompt engineering has emerged as a critical tool to refine AI outputs, but existing techniques are fragmented and lack a cohesive structure. The research team, led by Professor Feng Zhang from Renmin ...
DEV.co, a leading software development firm specializing in full-stack engineering and enterprise-grade applications, today announced the expansion of its JavaScript development services through a new ...
Generative artificial intelligence (AI) tools, like large language models (LLMs), are becoming more common. People use them for writing, research, problem-solving, and creative tasks. As AI use grows, ...
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 ...