Grokking Modern AI Fundamentals
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1. Large Language Models (LLMs) like GPT generate text by:
A
Randomly selecting words from a dictionary.
B
Memorizing entire encyclopedias and regurgitating them verbatim.
C
Predicting the next token (word/subword) based on learned patterns and probabilities from massive training data.
D
Combining only pre-written templates provided by human programmers.
2. Which best describes a generative model in AI?
A
A model that creates new data (text, images, audio) resembling patterns learned from existing data.
B
A model that strictly classifies data into categories.
C
A model that can only summarize human-written content.
D
A model that always requires human-provided labels to work.
3. Why do autonomous/agentic AI systems stand out in modern AI?
A
They are identical to supervised learning models.
B
They can self-prompt, plan tasks, and take actions with minimal human input, integrating multiple AI components.
C
They ignore real-time feedback and proceed randomly.
D
They only operate on small, manually labeled datasets.

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