CT-GenAI: Certified Tester Specialist Level – Testing with Generative AI

Which statement accurately characterizes Classical Machine Learning in the context of AI?

Which of the following statements BEST characterizes the purpose of embeddings in Large Language Models (LLMs) when processing and generating content?

In the context of Large Language Models (LLMs), which of the following statements (i–v) about tokenization and the context window are correct?

1. Tokenization is the process of splitting textual input into smaller units called tokens.
2. The context window determines the maximum number of tokens an LLM can consider at one time to maintain coherence.
3. Increasing an LLM’s context-window size generally reduces computational complexity and processing time.
4. Tokenization primarily consists of converting tokens into high-dimensional vectors to capture their semantic relationships.
5. A larger context window enables an LLM to maintain coherence across longer passages, such as when analyzing large test logs.

In the context of LLMs, which statement BEST describes an instruction-tuned Large Language Model?

A test team is reviewing screenshots of a mobile application's GUI together with textual defect reports to identify visual inconsistencies that the reports do not capture.

Which type of Generative AI model is MOST appropriate to help with this task?