Prompt engineering is the process of designing effective prompts for generative AI models.
- Text summarization
- Information extration
- Question and answers
- Text classification
- Translation
- Code generation
- Reasoning
- Instruction
- Context
- Constraints
- Format
The priciples
- Simplicity
- Specificity
- Essential prompt keywords
Limitations
- Citing references 列举引用
- Solving math problems
- Hallucination 幻觉
Examples of role
- Fiction writer
- Poet
- Motivational speaker
- Customer and support
Zero-shot prompting is a prompting technique that involves generating text without any training on the specific task at hand.
Limitations
- Control
- Complex tasks
- Specialized domain
- Long-form text
Few-shot prompting is a technique in which a model is trained to perform a specific task with limited or few training examples, also called shots, typically in the range of 1–10.
The difference between zore-shot and few-shot is that, for zero-shot, no examples just question. but for few-shot, the query includes some examples let model understand.
Limitations
- Generalization
- Task complexity
- Limited exploration
- Lack of contextual understanding
the chain-of-thought (CoT) prompting technique enables the model to demonstrate complex reasoning capabilities through intermediate reasoning steps.
key words:
Let's think step by step.
Examples:
- Arithmetic reasoning
- Common sense reasoning
- Eduction
- Corporate training
- Assessment and evaluation
- E-learning and instructional technology
- Creative industries
- Research and data analysis
- Translation prompts
- Vocabulary prompts
- Grammar prompts
- Writing style enhancement
- Creating outlines
- Planning for a course
- Planning for lessons
- Creating slides
- Suggesting discussion topics
- Creating assessments
- Data analysis and management
- Financial planning and budgeting
- Project management
- brainstorming and ideation
- Customer feedback surveys
- Persona creation
- Idea generation
- User research
- Product strategy and planning
- Recruitment and selection
- Employee relations
- Policy development
- Training and development
- Performance management
- Brand consistency
- Audience engagement
- Reputation management
- Data analysis
- Social media advertising
- Keyword research
- On-page optimization
- Technical SEO
- Content development
- Link building
- Performance analysis
- Front-end developer
- Back-end developer
- Full-stack developer
- Requirement analysis
- Software design
- Coding and development
- Learning a new language from scratch
- Basic problem-solving
- Quick explanations
- Explanation and feedback
- Code translation
- Students
- Parents
- Freelancers
- Social media influencers
- Research and information
- Behavioral questions
- Technical questions
- Feedback
- Learning assistance
- Skill development
- Career guidance
- Self-reflection
- Information and advice
- Educational support
- Engaging activities
- Personal development
- Creating content
- Building a community
- Expanding influence
- Dealing with criticism
- Job opportunities
- Time management
- Professional advice
总结一句话，AI可以在生活的方方面面帮助到我们，你将问题描述好，他可以作为一个经验丰富的导师指引着你慢慢按步骤去解决问题。
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