Advanced Prompt Engineering Principles

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AI Nuggets

CLI Commands

No specific CLI commands were provided in the transcript.

Website URLs

• Anthropics documentation: Not provided directly in the transcript.
• Google spreadsheet for prompt engineering exercises: Not provided directly in the transcript.
• Anthropics prompt library: Not provided directly in the transcript.
• Image of a speedometer: Not provided directly in the transcript.
• Wikimedia image: Not provided directly in the transcript.
• Google Colab for the meta prompt: Not provided directly in the transcript.

Tips for Better Prompting

1. Understand that different language models may require different prompts.
2. A prompt is usually in the form of a question or instructions.
3. The quality of the instructions you give can have a large effect on the quality of its outputs.
4. Be clear and direct in your prompts.
5. Include examples in your prompts to guide the expected output.
6. Assign roles to the AI to increase performance for specific use cases.
7. Use XML tags to structure prompts.
8. Divide complex tasks into smaller steps for better results.
9. Allow the AI to “think” by instructing it to consider steps before responding.
10. Prefill responses to guide the AI in the desired direction.
11. Specify the desired output format.
12. Use consistent grading rubrics to evaluate the AI’s responses.
13. Use images as inputs for vision tasks and provide clear text questions about them.
14. Provide examples when asking the AI to interpret or transcribe visual information.
15. Use moderation filters to control the output for specific categories.
16. Use the meta prompt to help generate better prompts when you’re unsure how to start.

Best Practices for Specific Use Cases

• For vision tasks, provide clear instructions and context.
• When transcribing documents, specify exactly what you want to transcribe.
• For charts and graphs, use images and ask text questions about them.
• For slide decks, convert PDF pages to images and use them as input.
• Combine language models with image generation APIs for creative tasks.
• Build evaluations to empirically improve the accuracy of tasks.
• Use moderation filters to categorize outputs based on predefined criteria.

Additional Resources

• Anthropics documentation for detailed guides and examples.
• Google spreadsheet provided by Anthropics for practicing prompt engineering.
• Anthropics prompt library for well-structured and detailed prompts.
• Google Colab for using the meta prompt to generate better prompts.

Recap

The video covers the importance of prompt engineering, how to write better prompts, and provides a wealth of resources and examples from Anthropics documentation. It emphasizes the need for detailed, clear, and structured prompts with examples and context, as well as the use of evaluations and moderation filters to improve and control AI outputs.

(Note: The exact URLs and additional details for the resources mentioned in the transcript were not provided. To access these resources, one would typically need to visit the Anthropics website or the specific pages mentioned in the video description, which was not included in the provided material.)