AI Today Podcast

Prompt Engineering Best Practices: Hack and Track [AI Today Podcast]

14 snips
Apr 26, 2024
Exploring prompt engineering best practices through experimentation, tracking, and iteration. Discussing the importance of variability in AI models and documenting prompts for generative AI systems. Emphasizing the power of prompt engineering, iteration, and sharing best practices for optimal outcomes in AI.
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ADVICE

Hack and Track

  • Experiment with different prompt strategies to discover what yields the best results for your needs.
  • Track your prompts and results using a spreadsheet or other methods, rating them on factors like accuracy and relevance.
INSIGHT

Value of AI

  • AI models offer value where traditional programming or rule-based systems fall short due to variability in inputs and desired outputs.
  • AI's strength lies in handling situations with changing inputs, where non-AI solutions would require human intervention.
ADVICE

Context Window and Tracking

  • Be mindful of context window limitations; large input windows don't guarantee equally large outputs.
  • Track prompt variations, model sensitivities, and changes over time, especially if relying heavily on generative AI.
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