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What is the difference between extractive and generative question answering?
Extractive QA involves the model pulling a specific answer directly from a provided context (e.g., using BERT-like models), while generative QA creates a new, contextually relevant answer based on the context, or completely on its own if no context is provided.
How can AI be used to assist software testers?
AI tools like Chat GPT or Copilot can be prompted to suggest test cases covering functionality, usability, and performance, which can then be formatted into CSV files for tools like Jira X-ray.
What is “QA Wolf”?
QA Wolf is an AI-native service that delivers 80% automated end-to-end (E2E) test coverage for web and mobile apps in weeks.
What is a synthetic QA dataset?
It is a dataset of question-answer pairs generated automatically by large language models (LLMs) from a given text or document, which is used to train or fine-tune other models.