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Quiz dotyczący wysiłku rozumowania i myślenia o budżetach

Testuje, jak działają wysiłki związane z rozumowaniem i budżety na myślenie, jak naliczane są ukryte żetony rozumowania i dlaczego więcej myślenia przynosi malejące zyski.

Powiązane ścieżki prowadząceRozumny wysiłek i myślenie o budżetach
Pytanie 1 z 8

What do reasoning effort and thinking budget settings control?

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  1. What do reasoning effort and thinking budget settings control?
    • The size of the model's training data
    • How much internal step-by-step reasoning the model does before answering
    • The number of languages the model supports
    • How many users can call the model at once
  2. How are hidden reasoning tokens generally billed?
    • They are free because you cannot see them
    • As input tokens
    • As output tokens
    • As a flat monthly fee
  3. For Anthropic extended thinking, which rule about budget_tokens is stated in the guide?
    • It must be at least 1,024 and smaller than max_tokens
    • It must equal max_tokens exactly
    • It has no minimum
    • It must be larger than the context window
  4. A model is given a large thinking budget for an easy question. What typically happens?
    • It always uses the full budget
    • Odmawia odpowiedzi
    • It may use only part of the budget
    • It switches to a different model
  5. Where do larger reasoning settings help the most?
    • Simple factual lookups
    • Problems that genuinely need several steps, like hard math or debugging
    • Greeting messages
    • Very short translations
  6. What is the recommended way to choose an effort level?
    • Always use the highest setting
    • Always use the lowest setting
    • Test real tasks at several levels and pick the lowest that meets your quality bar
    • Pick a level at random for each request
  7. Why might a reasoning model return a truncated or empty answer?
    • The output limit was too small to cover both reasoning and the answer
    • The prompt was too short
    • Reasoning models cannot answer questions
    • The thinking budget was set to its minimum
  8. When using Anthropic extended thinking with tools across multiple turns, what should you do with thinking blocks?
    • Delete them to save tokens
    • Rewrite them in your own words
    • Pass them back unchanged so the model can continue its reasoning
    • Convert them into a system prompt