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 Generative AI > Prompt Engineering
   Zero-Shot, One-Shot and Few-Shot Prompting 
   Chain of Thought Prompting 
   System Prompts - How to Write Effective Instructions for LLMs 
   ReAct Prompting Pattern 
   Few-Shot Prompting 
   Chain-of-Thought Prompting 
   AI Guardrails - Keeping Chatbots On-Topic 
   Claude Prompt Caching 
   Role Prompting and Persona Assignment 
   Tree of Thought Prompting 
   Self-Consistency Prompting 
   Prompt Chaining for Complex Tasks 
   Structured Output Prompting with JSON Schema 
   Prompt Decomposition - Breaking Complex Tasks into Sub-prompts 
   Meta-Prompting - Using LLMs to Generate Better Prompts 
   Negative Prompting - Telling LLMs What Not to Do 
   Prompt Templates with Jinja2 for Dynamic Instructions 
   Automatic Prompt Optimization with DSPy 
   Prompt Versioning and A/B Testing for LLM Applications 
   Persona Chaining - Multi-Stage Role Assignment in Prompts 
   Output Format Control - Tables, Lists, and Markdown in Prompts 
   Step-Back Prompting - Improving Reasoning with Abstract Questions 
   Contrastive Chain-of-Thought - Using Good and Bad Examples 
   Program of Thought Prompting - Code-Based Reasoning with LLMs 
   Least-to-Most Prompting - Solving Problems Incrementally 
   Retrieval-Augmented Prompting - Dynamic Context Injection 
   Constitutional AI Prompting - Self-Critique and Revision 
   Multi-Modal Prompting - Combining Text and Image Instructions 
   Prompt Compression with LLMLingua - Reducing Token Costs 
   Calibration Prompting - Getting Confidence Scores from LLMs 
   Adversarial Prompt Testing - Stress-Testing Your Prompt Design 
   Context Stuffing - Maximizing Relevant Information in Prompts 
   Instruction Hierarchy - Priority Order in Multi-Part Prompts 
 
  


  
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