Recent research has demonstrated that large language models, like GPT-4 Omni (GPT-4o), can create exam questions for certification exams and has explored how different types of prompts affect the results. This webinar will compare item generation using zero-shot (which is the current default) to two new methods: Retrieval-Augmented Generation (RAG) and an agentic approach. Will these new methods of using models like GPT-4 improve upon current state-of-the-art methods for creating exam questions, making the process faster and more efficient? Hear from experts Alan Mead, PhD and Pat Coates.
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