

Prompt Engineering Fundamentals: How to Get Better Results With AI
123 snips 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.
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Chris Penn's AI Journey
- Chris Penn started in IT and transitioned to marketing, eventually focusing on analytics after Google launched Google Analytics.
- In 2013, he began working with machine learning to measure PR value, leading to the founding of Trust Insights.
Prompt Engineering as Coding
- Prompt engineering is coding for AI models using natural language instead of programming languages.
- Treat AI models like smart interns who need specific instructions to produce good work.
Six Use Cases of Generative AI
- AI tools excel at generation, summarization, extraction, rewriting, classification, and question answering.
- Use these six categories as building blocks for more complex AI tasks.