引导式测验 · 中等 等级
人工智能助手测验
了解助理如何结合模型和工具,为什么记忆与训练不同,以及如何验证证据、权限、操作和交接。
问题 1 的 8
What is an AI assistant in the guide’s definition?
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- What is an AI assistant in the guide’s definition?
- An interface that helps a person get information, create material, or complete tasks
- A model with unlimited access to every account
- A database of verified answers
- A chatbot that cannot use tools
- If an assistant answers from a supplied document, what is its evidence basis?
- The document automatically retrains the model
- The model has verified every claim in the document
- The provided document is part of its context, but the answer still needs checking
- The assistant must ignore the supplied text
- What does a saved preference in an assistant’s memory imply about training?
- That every model parameter changed
- Not necessarily that the underlying model was retrained
- That the preference is public
- That the assistant cannot forget anything
- What determines whether an assistant can access a connected account?
- 仅模型名称
- A prompt asking it to ignore permissions
- The amount of text in the conversation
- The product integration and permissions granted
- The assistant says it drafted a report but has not saved a file. How should it label the result?
- As a draft, not a completed file
- As a saved file because text exists
- As an approved report
- As a verified result
- What interaction feature supports recoverability?
- Forcing a restart after every error
- Hiding whether an action is running
- Allowing correction, cancellation, or manual workflow
- Executing consequential actions without review
- Why should a product explain whether an answer used supplied sources or tools?
- It guarantees the answer is correct
- The answer’s evidence basis affects how it should be checked
- It determines the user’s account password
- It removes the need for source links
- Which metric better reflects assistant usefulness than answer length alone?
- Number of sentences
- 型号尺寸
- Conversation duration
- Task outcome and user effort