5 Prompting Tricks to Make Your AI Less Average

In this episode of The AI Daily Brief, NLW discusses the problem of AI-generated content often being average due to its training on a vast corpus of human-generated data. He references Alex Kantrowitz's essay, "AI Sameness Problem," which highlights the lack of uniqueness in AI outputs across various media. NLW then shares five techniques to help LLMs move beyond this averageness: using a negative style guide to avoid overused words and phrases, forcing divergence in choice to encourage decisive outputs, employing a cliché burndown to identify and replace common clichés, utilizing self-critique and different models for critical feedback, and providing examples with detailed explanations of why they surpass conventional wisdom. The aim is to leverage AI more effectively by prompting it to produce distinct, high-quality content.