Schița de curs

Introduction to Prompt Engineering

  • What prompt engineering is and why it matters
  • Typical use cases and impact on productivity
  • Overview of common model behaviors

Core Principles of Effective Prompts

  • Clarity, context, constraints, and examples
  • Controlling output length, format, and style
  • Common pitfalls and how to avoid them

Prompt Patterns and Templates

  • Instruction-based prompts and role prompts
  • Chain-of-thought and step-by-step prompting
  • Few-shot examples and template reuse

Hands-on Prompting Exercises

  • Crafting prompts for summarization and rewriting
  • Designing prompts for classification and data extraction
  • Live iteration: refining prompts based on outputs

Evaluating and Improving Prompts

  • Metrics and heuristics for prompt quality
  • Using tests and edge cases to validate prompts
  • Versioning and documenting prompt changes

Safety, Bias & Responsible Use

  • Recognizing and mitigating biased or unsafe outputs
  • Basic guardrails and content constraints
  • When to involve human review

Wrap-up, Resources & Next Steps

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

Cerințe

  • Familiarity with web-based AI chat interfaces
  • Basic understanding of natural language concepts
  • Comfort with iterative problem-solving

Audience

  • Beginners who want to learn how to communicate effectively with AI models
  • Product managers, content creators, and analysts exploring AI tools
  • Anyone responsible for producing or evaluating AI-generated content
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