What is a Large Language Model (LLM)?

• A type of artificial intelligence that processes images.

• A computer program that understands and generates human-like text.

• A tool for creating complex mathematical equations.

• A software for managing large databases.

How do Large Language Models (LLMs) learn?

• By observing human conversations in real-time.

• Through direct programming by human developers.

• By reading vast amounts of text data from the internet.

• By analyzing visual and auditory information.

What is the primary mechanism by which LLMs predict the next word in a sequence?

• By randomly selecting a word from its vocabulary.

• By consulting a human expert for the correct word.

• By predicting the most probable next word based on its training data.

• By searching the internet for the exact phrase.

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Which of the following is NOT a capability of Large Language Models (LLMs)?

• Answering questions.

• Summarizing long texts.

• Generating creative content.

• Performing complex physical tasks.

What is a "hallucination" in the context of Large Language Models (LLMs)?

• When an LLM creates realistic images.

• When an LLM generates factually incorrect information.

• When an LLM experiences a software crash.

• When an LLM translates text into a different language.