AI vs. AI: How to Test AI Systems Using AI
summary
Claims that an LLM can test another LLM by running rule checks, format checks and context/hallucination checks on generated outputs, and demonstrates a working quiz generator backed by retrieval augmented generation using LangChain and GPT-4 in Google Colab. The demo wires a second evaluator AI to return yes/no plus brief explanations, catches refusal and hallucination cases, plugs into pytest-like fixtures and a CI/CD pipeline, and shows concrete pass/fail outputs.
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chapters (10)
- 0:00Introduction to AI Testing
- 0:30Understanding Intelligent Applications
- 1:19Changing Needs in Software Testing
- 2:34Automated Evaluations
- 3:28Demo: Building a Quiz Generator
- 5:04Hands-On Coding with Google Colab
- 11:03Evaluating AI with AI
- 17:01Advanced Automated Evaluations
- 23:02CI/CD Pipeline for AI Applications
- 24:30Conclusion and Q&A
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