Prompt Engineering Fundamentals - Generative AI For Beginners (v1)

3 Resources to Jumpstart Your Generative AI Journey:

1. 
   


2. 
   series! Today, I want to talk about curriculum that was released as an open-source series of 12 lessons (v1) last October. Each lesson covers a core topic and provides an assignment to help reinforce the ideas you learned.
   
   
   

   on GitHub.

   
   
   

   Today, I'll focus on the lesson I contributed to this curriculum - the chapter on

   
   
   
   
   
   

   
   
   
   Review: Illustrated Guide
   

   
   
   

   The lesson is broken down into these sections:

   
   
   
   
   
   1. 
      Core Concepts - explains key terms including tokenization, that are critical to prompt usage.
   
   
   2. 
      Core Challenges - tells you why prompt design is critical to getting better quality responses.
   
   
   3. 
      GitHub Copilot - provides a real-world case study that illustrates prompt engineering examples.
   
   
   4. 
      Prompt Construction - describes the components of a prompt, and how complex prompts are designed.
   
   
   5. 
      Primary Content - highlights a number of prompt design patterns that improve quality of responses.
   
   
   6. 
      Advanced Techniques - shows how to improve quality by having the model critique or explain itself.
   
   
   7. 
      Best Practices - wraps up the lesson by looking at the end-to-end application lifecycle and workflow.
   
   
   
   
   

   The illustrated guide below gives you a high-level overview of the lesson flow and sub-topics covered.

   
   
   

   to your profile, and get started exploring the lessons!! Happy learning!

   
   
   
   
   
   

   3 Resources to Jumpstart Your Generative AI Journey:

   
   
   
   
   
   1. 
      
   
   
   2. 
      Responsible AI Resources For Developers
   
   
   Vollständiger Original-Bericht

   Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.

   ↗ Original-Artikel auf dev.to lesen