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Prompt Engineering Fundamentals: How to Get Better Results With AI
May 28, 2024
Chris Penn, AI professional, discusses prompt engineering for AI, emphasizing specific writing for better results. Topics include AI tools evolution, large memory systems, AI-generated content strategy, personalized marketing, and sales pitches. Exploring feedback loops and effective communication in AI usage.
44:25
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Quick takeaways
- Implementing a four-step prompt engineering framework optimizes AI output by defining roles and actions.
- The PAIR framework enhances AI engagement by deepening understanding, refining knowledge, and aligning with desired outcomes.
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Understanding the Importance of Prompt Engineering in AI
Prompt engineering is crucial for optimizing AI output. Initiating framework such as the RACE model involves defining the role and action required from the AI. The context sets the background information, and the execute stage entails formatting and instructions to guide the AI effectively.
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