Advanced Prompt Engineering Principles
AI Nuggets
Outline of Instructions, CLI Commands, Website URLs, and Tips from the Video Transcript
Introduction to Prompt Engineering
- Importance of creating better prompts:
- Achieve better results
- Reduce costs
- Increase accuracy in software and automation
Resources for Prompt Engineering
- Resource provided by the Tropic team (creators of CLA)
- Anthropics documentation for prompt engineering
- Website URL: Not provided explicitly in the transcript
Prompt Engineering Topics Covered
- Using multimodels like Vision models
- Writing better prompts
- Best practices
Prompt Engineering Principles
- Understanding that different LMs may require different prompts
- A prompt is the text given to CL to elicit a relevant output
- Importance of the context window in LMs
Prompt Development Lifecycle
- Develop test cases
- Engineer a preliminary prompt
- Test the prompts against cases
- Refine the prompts
- Share or launch the polished prompts
Techniques and Guidelines for Better Prompts
- Be clear and direct
- Provide clear instructions and context
- Include examples
- Assign roles to guide the response
- Use XML tags
- Chain prompts for complex tasks
- Let CL think step by step
- Prefill CL’s responses to guide output
- Control the output format
- Understand the importance of context order in prompts
Anthropics Prompt Engineering Exercise
- Google spreadsheet exercise for practicing prompt engineering
- Requires connecting your CL API
- URL: Not provided explicitly in the transcript
Anthropics Prompt Library
- Contains well-structured and detailed prompts
- URL: Not provided explicitly in the transcript
Examples from the Anthropics Prompt Library
- Website wizard: Detailed instructions for creating a one-page website
- Excel formula expert: Advanced Excel formula based on user descriptions
- Distilling meetings into concise summaries
- Grading Guru: Compare and evaluate text quality
Best Practices for Using Vision with CLA
- Apply traditional techniques to multimodel
- Visual prompting with images as input
- Transcribing documents and forms
- Working with charts, graphs, and slide decks
- Combining CLA with stable diffusion API for image generation
Building Evaluations
- Importance of offline evaluation for continuous improvement
- Components of an evaluation:
- Input prompt
- Output from the model
- Golden answer for comparison
- Score generated by grading methods
Moderation Filters
- Creating filters to allow or block certain outputs
- Categories for filtering: Allow or Block
Meta Prompt
- A long multi-shot prompt with examples of good prompts for various tasks
- Helps in writing a good prompt for your task
- URL: Not provided explicitly in the transcript
Additional Tips
- Use the LLM to assist in writing better prompts
- Save well-structured prompts for future use
Conclusion
- Emphasize detailed prompts with examples, context, and role assignments
- Check out the interactive tutorial provided by Anthropics
- Best practices for leveraging vision, slide decks, charts, and transcribing text
Video Description
- The URL provided in the video description for additional information: https://youtu.be/ctXB9q2hLWY?si=f7S5SsETUkwnZ-VR
(Note: The transcript did not provide complete exact URLs for the resources mentioned, and the provided link is for the YouTube video itself, not additional resources.)