AI大家说 | 从被动执行到主动思考，快来升级你的提示词技巧

Core Insights - The article emphasizes the increasing importance of "prompts" in enhancing user experience with AI models, highlighting that effective communication is crucial for maximizing AI capabilities [2] - It introduces structured frameworks for prompt design, which can significantly improve human-AI collaboration efficiency [5] Prompt Framework: Building Efficient Communication - The RICE framework consists of four key elements: Role, Input, Context, and Expectation, which guide the AI's response and improve output quality [6][7][8] - A well-designed prompt framework reduces communication costs by minimizing misunderstandings and streamlining interactions among team members [9] - The framework also enhances output quality by providing a clear "thinking path" for the AI, leading to more accurate responses [9] - The structured design allows for easy optimization of prompts, enabling quick identification of areas needing adjustment [9] Advanced Prompt Techniques - Transitioning from a "tool" to a "thinking partner" mindset is crucial for effective AI collaboration [17] - Encouraging direct and critical feedback from the AI can lead to more insightful evaluations of strategies [19] - Providing rich context and background information enhances the quality of AI outputs [22] - Engaging the AI in a collaborative process rather than a one-off question-and-answer format fosters better results [23] Writing with AI - The article discusses the challenge of AI-generated content being technically correct but lacking emotional depth [26] - Techniques such as visual storytelling and concise editing can improve the quality of AI-assisted writing [27][28] - The collaboration should be viewed as a partnership where the human provides depth and emotion while the AI organizes and refines the content [28]