2. Popular AI Models and Their Usage

🔹 Types of AI Models for Testing

• LLM-based models (e.g., GPT-4, LLaMA, Gemini, Claude)

• Code-generation models (e.g., Copilot, Code Llama)

• AI-powered automation tools (e.g., Playwright AI, TestRigor)

🔹 Comparing AI Models for Testing

Model	Provider	Best Use Case in Testing
GPT-4	OpenAI	Test case & test data generation
Gemini	Google	AI-powered exploratory testing
LLaMA	Meta	Open-source AI for custom testing needs
Copilot	GitHub	AI-assisted code completion & test automation
TestRigor	AI Tool	No-code AI-powered test automation

🔹 Strengths & Weaknesses of AI in Testing

✅ Strengths:

• Speeds up test design and data generation

• Enhances test coverage with AI-driven test cases

• Supports exploratory and automated testing

❌ Weaknesses:

• Hallucinations in generated test cases

• Lack of real-world contextual awareness

• Requires human review and refinement of AI-generated results