Shot Prompting for QA Engineers | Advanced OpenAI API Tutorial
🚀 Level up your AI testing game with shot prompting - the advanced technique that gets consistent, production-ready results every time.
In Video #1, we generated test cases with OpenAI. Today, we're going beyond basics with shot prompting, temperature control, and text generation - all applied to real QA problems.
🎯 What You'll Learn:
Text Summarization: Turn 500-word bug reports into instant summaries
Temperature Control: Make AI output deterministic or creative based on your needs
Shot Prompting: Zero-shot, one-shot, and few-shot techniques explained
Consistent Results: Train AI with examples for production-ready outputs
Real QA Applications: Defect classification, test data generation, requirement extraction
Chapters:
0:00 Introduction
0:46 OpenAI Beyond Basic Prompts
2:28 Setting Up Environment
2:34 Text Summarization Example
4:49 Using F Strings in Prompts
9:07 Controlling Response Length
10:47 Text Generation Example
12:41 Understanding Temperature Control
17:41 Short Prompting Techniques
20:00 Zero Shot Prompting
21:11 One Shot Prompting
23:13 Few Shot Prompting
25:00 Categorization Example
26:26 QA Testing Prompts
29:31 Generating Test Cases
💡 Key Techniques Covered:
Bug report summarization for sprint planning
Temperature parameter (0-2) and when to use each setting
max_completion_tokens for cost management
Zero-shot vs One-shot vs Few-shot prompting
Side-by-side comparison: inconsistent vs consistent results
Practical QA use cases with code examples
🔧 Tech Stack:
Python
OpenAI API (GPT-4)
Shot prompting techniques
Advanced prompt engineering
🔗 Resources:
GitHub Code & Examples: https://github.com/nextgenqaofficial
Video #1 - Basic Prompts: • Auto-Generate Test Cases Using OpenAI | Op...
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👨💻 About Me:
I'm Soumyansh, AVP & Senior QA Engineer with 13 years of experience in banking, healthcare, and fintech. I specialize in AI-powered testing, test automation, and multi-model validation. On this channel, I share practical AI implementations for QA engineers - real code, real examples, real results.
💬 Your Turn:
Which technique are you most excited to try? Drop a comment below! I read and respond to everyone.
🎓 Related Topics:
OpenAI API for testing
AI-powered test automation
Prompt engineering for QA
Test case generation with AI
Defect classification automation
AI in software testing
📧 Connect:
Business inquiries: [email protected]
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