Complete the sentence to describe what large language models primarily do.
Large language models are designed to [1] and generate human-like text.
Large language models predict the next word or sequence in text to generate human-like language.
Complete the sentence to identify a key difference between large language models and other AI types.
Unlike rule-based AI, large language models learn from [1] data.
Large language models learn from large amounts of text data, unlike rule-based AI which follows fixed rules.
Fix the error in the statement about AI types.
Rule-based AI systems [1] by following fixed instructions, while large language models generate responses based on patterns.
Rule-based AI operates by following fixed instructions, not by learning or guessing.
Fill both blanks to complete the comparison between AI types.
Large language models use [1] learning, while traditional AI often relies on [2] programming.
Large language models use machine learning, which means learning from data. Traditional AI often uses manual programming with explicit rules.
Fill all three blanks to explain how large language models differ from other AI.
Large language models [1] vast amounts of text, learn [2] patterns, and generate [3] responses.
They process large text data, learn statistical patterns, and generate human-like responses.