1. Overview of Generative AI

🔹 What is Generative AI?

  • Definition and principles of Generative AI

  • How it differs from traditional AI and rule-based systems

🔹 How Generative AI Works

  • The role of Large Language Models (LLMs)

  • Understanding the tokenization process

  • Concept of context windows and their limitations

  • The problem of hallucinations in AI-generated outputs

🔹 Impact of AI on Software Testing

  • AI for Test Case Generation

  • AI for Test Data Creation

  • AI for Test Automation and Execution

  • AI for Exploratory Testing and Debugging

  • AI-powered Testing Assistants

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