Computer — All MCQs
4795 questions available
Q1901.What is a major limitation of LLMs?
Correct Answer: B
LLMs can fail on real-time data, complex reasoning, and may present outdated training knowledge as current fact.
Q1902.What is a user prompt?
Correct Answer: A
A user prompt is the text instruction or query entered into an AI interface to initiate a response.
Q1903.What is a system prompt usually used for?
Correct Answer: A
A system prompt is a high-level instruction used to establish the overall role, boundaries, tone, and security rules for the AI.
Q1904.Which task is an example of multimodal AI usage?
Correct Answer: A
Multimodal AI has the capability to process multiple types of data inputs, such as analyzing an image and answering a text query about it.
Q1905.What is multimodal AI?
Correct Answer: B
Multimodal AI systems can ingest and synthesize diverse data inputs, including images, audio, text, and video, unlike text-only systems.
Q1906.Which is an example of few-shot prompting?
Correct Answer: B
Providing sample input-output pairs (exemplars) before the actual query is a prime example of few-shot prompting.
Q1907.What is few-shot prompting?
Correct Answer: A
Few-shot prompting is a technique where a few sample tasks are demonstrated inside the prompt to teach the model how to perform a task.
Q1908.What is zero-shot prompting?
Correct Answer: B
Zero-shot prompting relies on the model's pre-trained knowledge to perform a task directly from an instruction, with zero samples.
Q1909.What is fine-tuning?
Correct Answer: A
Fine-tuning is the process of adjusting the weights of a pre-trained model by training it further on a smaller, domain-specific dataset.
Q1910.Why is RAG useful?
Correct Answer: B
By retrieving relevant information from verified documents, RAG ensures that the AI answers are strictly grounded in fact.
Q1911.What is the purpose of RAG in LLM systems?
Correct Answer: D
RAG (Retrieval-Augmented Generation) optimizes LLM outputs by searching and referencing external knowledge sources before answering.
Q1912.Stable Diffusion is mainly used for?
Correct Answer: A
Stable Diffusion is a popular open-source generative AI diffusion model used for synthesizing realistic images from text prompts.
Q1913.Which model is mainly used for generating images from text prompts?
Correct Answer: A
OpenAI's DALL·E is a generative AI system designed to synthesize highly detailed images and artwork directly from written prompts.
Q1914.Which of the following is a safe use of Generative AI?
Correct Answer: B
Using AI to compile study notes, summarize textbooks, or organize ideas are safe and highly productive applications.
Q1915.Which information should generally NOT be entered into a public AI chatbot?
Correct Answer: C
Sensitive personal data, corporate trade secrets, and proprietary case details should never be uploaded to public AI servers.
Q1916.Which task is suitable for an LLM?
Correct Answer: A
LLMs excel at natural language processing tasks, such as text generation, summarization, and translation.
Q1917.What is tokenization?
Correct Answer: A
Tokenization is the first step in NLP where continuous text is split into smaller individual units (words, subwords, or characters) called tokens.
Q1918.What is a context window in an LLM?
Correct Answer: B
The context window represents the maximum number of tokens a model can read and process in a single prompt and response cycle.
Q1919.Which temperature is better for factual exam answers?
Correct Answer: B
A low temperature (e.g., 0.1 or 0) forces the model to choose highly probable, factual, and consistent responses, avoiding creative guesses.
Q1920.What does the temperature setting in an LLM control?
Correct Answer: B
Temperature regulates the probability distribution of tokens; higher values encourage creativity, while lower values restrict output to logical facts.