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AIF-C01 · Question #196

A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?

The correct answer is D. The input tokens exceed the model's context size. Language models have a maximum context size, which limits the number of input tokens they can process at once. If a book's length exceeds this limit, the model cannot handle the full input, leading to failure in summarization.

Submitted by alyssa_d· Mar 30, 2026Fundamentals of Generative AI

Question

A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?

Options

  • AThe temperature is set too high.
  • BThe selected model does not support fine-tuning.
  • CThe Top P value is too high.
  • DThe input tokens exceed the model's context size.

How the community answered

(30 responses)
  • A
    3% (1)
  • B
    17% (5)
  • C
    10% (3)
  • D
    70% (21)

Explanation

Language models have a maximum context size, which limits the number of input tokens they can process at once. If a book's length exceeds this limit, the model cannot handle the full input, leading to failure in summarization.

Topics

#context window#token limit#LLM limitations#summarization

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