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Course Outline

Introduction to Prompt Engineering

  • Defining prompt engineering and its importance
  • Key use cases and their impact on workflow efficiency
  • Understanding typical model behaviors

Core Principles of Effective Prompts

  • Emphasizing clarity, context, constraints, and examples
  • Managing output length, format, and tone
  • Identifying common pitfalls and strategies to avoid them

Prompt Patterns and Templates

  • Instructional prompts and role-based prompting
  • Chain-of-thought reasoning and step-by-step guidance
  • Few-shot examples and the reuse of templates

Practical Prompting Exercises

  • Creating prompts for text summarization and rewriting
  • Developing prompts for classification and data extraction
  • Live iteration: adjusting prompts based on generated outputs

Evaluating and Enhancing Prompts

  • Metrics and heuristics for assessing prompt quality
  • Validating prompts through testing and edge case analysis
  • Versioning and documenting prompt modifications

Safety, Bias, and Responsible Use

  • Detecting and mitigating biased or unsafe outputs
  • Implementing basic guardrails and content restrictions
  • Determining when human oversight is necessary

Summary, Resources, and Next Steps

  • Quick reference templates and cheat sheets
  • Recommended reading materials and community resources
  • Recommendations for continued practice and learning paths

Requirements

  • Familiarity with web-based AI chat interfaces
  • Fundamental understanding of natural language concepts
  • Aptitude for iterative problem-solving

Target Audience

  • Novices eager to learn effective communication techniques with AI models
  • Product managers, content creators, and analysts exploring AI-driven tools
  • Professionals responsible for generating or evaluating AI-created content
 7 Hours

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