How to model effective AI prompts
Effective prompting frameworks and practices for replicating your successes.
During Ragan’s Employee Communications Conference in Chicago last week, Martin Waxman to join us for an interactive pre-conference workshop about how communicators can master AI-powered writing and content creation. Waxman is a PR veteran and educator at the York Schulich School of Business who now specializes in AI research and digital marketing trends, and educates other professionals in the future of AI and prompt engineering.
Waxman offered a few tips for prompt engineering, and he started by harking back to his comment about words and images as data.
“You’re programming, but you’re using words and ideas to program, rather than code,” he said.
He also cautioned that prompt engineering often isn’t quicker than the creative process itself — at first, anyway — because it requires extensive back-and-forth conversation, trial and error, and iterative creation.
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