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Home > Computing and Information Technology > Computer programming / software engineering > Software Engineering > Software testing and verification > Working with Unpredictable Geniuses: A Friendly, Hands-On Guide to Testing Language Models
Working with Unpredictable Geniuses: A Friendly, Hands-On Guide to Testing Language Models

Working with Unpredictable Geniuses: A Friendly, Hands-On Guide to Testing Language Models


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About the Book

Do you use ChatGPT for research? GitHub Copilot for coding? Claude for planning?

Then you've probably wondered: "Wait, is this output actually right?"

Large language models are powerful but unpredictable. They hallucinate facts, flip conclusions on paraphrased inputs, and
confidently fabricate citations. A major airline faced legal action when their chatbot gave wrong policy information.
Lawyers received sanctions for submitting AI-generated fake case citations. Traditional testing doesn't work because
there's no "one right answer."

This book solves that problem with practical, proven testing techniques you can use today-whether you're chatting with AI
for summaries, coding with AI assistants, or building autonomous agents.

WHAT YOU'LL LEARN:

- How to catch hallucinations before they reach production
- Evidence-anchoring: making AI cite its sources (and verify them automatically)
- Property tests that work without ground truth
- Self-consistency checks for high-stakes decisions
- Cost-aware testing strategies that fit your budget
- Statistical methods explained in plain English (no PhD required)
- Complete test harness you can build in a weekend
- Red teaming and adversarial testing for AI security
- Production monitoring and drift detection

THREE READING PATHS IN ONE BOOK:


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Product Details
  • ISBN-13: 9798270711290
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 300
  • Returnable: N
  • Sub Title: A Friendly, Hands-On Guide to Testing Language Models
  • Width: 152 mm
  • ISBN-10: 8270711292
  • Publisher Date: 20 Oct 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 16 mm
  • Weight: 404 gr


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