AI UX 5. What Is Prompt Engineering?

AI Prompts

• Purpose: AI prompts are used to communicate with AI systems, guiding them to generate responses or actions based on the user's intent.
• Importance: The quality of input (prompt) significantly affects the quality of output (response), making prompt design crucial.

Types of AI Prompts

1. Text-to-Text Models: These models take natural language inputs to produce text outputs such as generation, classification, summarization, translation, and more.
2. Text-to-Image Models: Trained on images captioned with descriptions, their applications include image generation and editing.
3. Text-to-Video Models: Create video content from textual descriptions ranging from simple sentences to full scripts.
4. Text-to-3D Models: Generate three-dimensional objects based on textual descriptions, used in video and game asset creation.
5. Text-to-Tasks Models: Perform specific actions based on text commands, useful in software automation and virtual assistant tasks.

Other Prompt Types

• Image Prompts: Use images as input to guide AI response.
• Speech Prompts: Use spoken commands or questions to interact with AI.

Prompt Engineering and Optimization

• Prompt Engineering: A methodical approach to designing effective prompts.
  • systematic approach to designing effective prompts using data analysis and precise adjustments to predict and control AI responses.
• Prompt Whispering: A more intuitive and experimental approach to crafting prompts based on trial and error.
  • intuitive and experimental approach, relying on trial and error and creativity to explore various AI responses and discover innovative outcomes. (자유로운 실험을 통해 다양한 반응을 탐색하며 AI의 반응 범위를 확장)

Common Prompt Formats

1. Questions: Ask for information or actions, like weather updates or factual queries.
2. Commands: Direct AI to perform a specific task, such as translating text.
3. Generative Prompts: Initiate creative content generation, such as writing a poem.
4. Contextual Prompts: Build on previous interactions to maintain context continuity.

Levels of Prompt Precision

1. Zero-shot Prompts: General queries without context, suitable for straightforward tasks.
2. One-shot Prompts: Provide a single example to guide AI output, useful for context-specific responses.
3. Few-shot Prompts: Offer multiple examples to shape AI responses more precisely.
4. Role Prompts: Specify a context or persona for the AI to adopt, enhancing the creativity and relevance of responses.

Practical Application

• Experiment with different prompts using a large language model to understand their effects and refine techniques for various applications.