#promptfoo

Learn how to scale your LLM testing from 10 to 1000+ test cases using CSV files in promptfoo!

In this tutorial, I show you how to move from inline YAML tests to CSV-based testing, making it easy to manage hundreds of test cases. We build a real sentiment analysis example and explore common edge cases like mixed sentiment and synonym variations.


📁 CODE & FILES (GitHub): https://github.com/Anshita-Bhasin/ai-...

Perfect for QA engineers testing production AI systems!
⚠️ NOTE ABOUT FAILURES: In the video, you'll see 2 tests intentionally fail.

This is normal in real-world LLM testing and teaches important lessons about handling ambiguous cases!



🔗 Connect on different platforms:

🔹 LinkedIn: / anshita-bhasin
🔹 YouTube: / @abautomationhub
🔹 Twitter: @anshita__bhasin
🔹 Instagram: @abautomationhub_
🔹 Medium: medium.com/@anshita.bhasin
🔹 Telegram: t.me/AbAutomationHub


🔗 Check out my Cypress+ k6 course :
https://forms.gle/kBoidQHgK2WycWXc6


🎓 WHO IS THIS FOR?
QA Engineers testing AI/LLM systems
Developers building AI-powered applications
Product teams validating AI accuracy
Anyone automating LLM testing workflows

💬 QUESTIONS OR FEEDBACK?
Drop a comment below! I read and respond to every comment.

👍 If this tutorial helped you, please:
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#promptfoo #LLMTesting #AITesting #QAAutomation #TestAutomation #CSV #SentimentAnalysis #MachineLearning #ArtificialIntelligence #QAEngineering #SoftwareTesting #Groq #LLM #TestData #AutomatedTesting #abautomationhub