
AI Explored Prompt Engineering Fundamentals: How to Get Better Results With AI
146 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.
AI Snips
Chapters
Transcript
Episode notes
AI for Survey Analysis
- Michael Stelsner used Claude for open-ended survey analysis, saving days of work.
- AI excels at processing data it's given, avoiding hallucinations common in pure generation.
RACE Framework
- Use the RACE framework (Role, Action, Context, Execute) for prompt engineering.
- Define the AI's role, specify the action, provide context, and finally, state the execution format.
Specificity in Prompts
- Use specific, relevant words in prompts for better AI output.
- AI models create word clouds, so relevant terms improve associations and results.

