Foundation, Instruction-Tuned and Reasoning LLMs CT-GENAI Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   How does instruction tuning improve an LLM's performance?

   • ABy aligning the model's outputs more closely with user intent
   • BBy reducing the model's vocabulary to only relevant terms
   • CBy increasing the model's context window size
   • DBy training the model on a larger corpus of raw text
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2. 2foundation · easy

   What is a defining feature of a reasoning LLM?

   • AIt only works with mathematical equations and cannot handle text
   • BIt is a rule-based system that follows predefined logic
   • CIt generates responses without any intermediate steps
   • DIt is trained to perform step-by-step logical deduction and problem-solving
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4. 3foundation · easy

   What is the key characteristic of an instruction-tuned LLM?

   • AIt is a model that generates instructions for other models to follow
   • BIt is a model that has been trained to reason step-by-step on every query
   • CIt is trained only on code examples to improve programming skills
   • DIt is fine-tuned on instruction-response pairs to better follow user prompts
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5. 4foundation · easy

   In software testing, which LLM type would be most suitable for generating a test summary report based on a given template and instructions?

   • AFoundation LLM
   • BReasoning LLM
   • CInstruction-tuned LLM
   • DAll LLM types are equally suitable
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6. 5application · medium

   A test automation team has a large corpus of historical bug reports and test logs. They want to use a generative AI model to automatically draft new test case descriptions from this corpus. The team has limited labeled data and needs the model to follow a specific output format. Which approach should they take?

   • AUse a foundation LLM and then manually reformat all outputs to match the required format.
   • BUse an instruction-tuned LLM with a prompt that specifies the format and includes a few examples.
   • CUse a foundation LLM directly with a few-shot prompt containing examples of the desired format.
   • DUse a reasoning LLM with a prompt asking it to reason about the bug reports before writing test cases.
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