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๐Ÿ“– Prompt Engineering Basicsยถ

  • ๐Ÿง  What is Prompt Engineering?
    • ๐Ÿ” Definition and Purpose
    • ๐ŸŽฏ Prompting vs. Fine-tuning
    • ๐Ÿ”„ Iterative Prompt Design
  • ๐Ÿงฑ Anatomy of a Prompt
    • ๐Ÿงพ Instructions
    • ๐Ÿ“„ Context and Examples
    • ๐Ÿง  Role, Tone, and Style
    • ๐Ÿ”ข Input Formatting and Constraints
  • ๐Ÿ” Prompt Patterns and Recipes
    • ๐Ÿ’ก Zero-shot Prompting
    • ๐Ÿงช Few-shot Prompting
    • ๐Ÿ“‹ Chain-of-Thought (CoT)
    • ๐Ÿ”„ ReAct (Reasoning + Acting)
    • ๐ŸŽ›๏ธ Self-Consistency, Self-Ask
  • ๐Ÿ” Prompt Evaluation and Debugging
    • ๐Ÿง  Desired Output vs. Actual
    • ๐Ÿงช Failure Modes
    • ๐Ÿ› ๏ธ Refinement Strategies
  • โš™๏ธ Prompt Engineering Tools
    • ๐Ÿงฐ Prompt Templates
    • ๐Ÿ” Prompt Iteration Interfaces
    • ๐Ÿ“Š Eval Frameworks (TruLens, Promptfoo)
  • ๐Ÿง  Prompting for Different Tasks
    • ๐Ÿงฌ Classification
    • ๐Ÿ“„ Summarization
    • ๐Ÿ”ง Code Generation
    • ๐Ÿง  Reasoning & Math
  • ๐Ÿ›ก๏ธ Prompting Challenges
    • ๐Ÿ” Prompt Injection
    • ๐Ÿ“‰ Output Instability
    • ๐Ÿค– Hallucination Traps
  • ๐Ÿ”š Closing Notes
    • ๐Ÿง  Summary and Best Practices
    • ๐Ÿš€ Whatโ€™s Next: Fine-tuning (06)
    • ๐Ÿ’ฌ What to Practice

๐Ÿง  What is Prompt Engineering?ยถ

๐Ÿ” Definition and Purposeยถ

๐ŸŽฏ Prompting vs. Fine-tuningยถ

๐Ÿ”„ Iterative Prompt Designยถ

Back to the top


๐Ÿงฑ Anatomy of a Promptยถ

๐Ÿงพ Instructionsยถ

๐Ÿ“„ Context and Examplesยถ

๐Ÿง  Role, Tone, and Styleยถ

๐Ÿ”ข Input Formatting and Constraintsยถ

Back to the top


๐Ÿ” Prompt Patterns and Recipesยถ

๐Ÿ’ก Zero-shot Promptingยถ

๐Ÿงช Few-shot Promptingยถ

๐Ÿ“‹ Chain-of-Thought (CoT)ยถ

๐Ÿ”„ ReAct (Reasoning + Acting)ยถ

๐ŸŽ›๏ธ Self-Consistency, Self-Askยถ

Back to the top


๐Ÿ” Prompt Evaluation and Debuggingยถ

๐Ÿง  Desired Output vs. Actualยถ

๐Ÿงช Failure Modesยถ

๐Ÿ› ๏ธ Refinement Strategiesยถ

Back to the top


โš™๏ธ Prompt Engineering Toolsยถ

๐Ÿงฐ Prompt Templatesยถ

๐Ÿ” Prompt Iteration Interfacesยถ

๐Ÿ“Š Eval Frameworks (TruLens, Promptfoo)ยถ

Back to the top


๐Ÿง  Prompting for Different Tasksยถ

๐Ÿงฌ Classificationยถ

๐Ÿ“„ Summarizationยถ

๐Ÿ”ง Code Generationยถ

๐Ÿง  Reasoning & Mathยถ

Back to the top


๐Ÿ›ก๏ธ Prompting Challengesยถ

๐Ÿ” Prompt Injectionยถ

๐Ÿ“‰ Output Instabilityยถ

๐Ÿค– Hallucination Trapsยถ

Back to the top


๐Ÿ”š Closing Notesยถ

๐Ÿง  Summary and Best Practicesยถ

๐Ÿš€ Whatโ€™s Next: Fine-tuningยถ

๐Ÿ’ฌ What to Practiceยถ

Back to the top