Examtopics

コメント(6)

• 正解だと思う選択肢: B

  A company needs to know the maximum input size for a single prompt when choosing a Foundation Model (FM) in Amazon Bedrock.

  A. Temperature: This controls the randomness of the output, not the input prompt length. Temperature affects creativity, not input size. B. Context window: This defines the maximum length of the input prompt the model can process. It directly limits how much information can be included. C. Batch size: This is the number of prompts processed at once, affecting throughput, not individual prompt length. It's about processing multiple prompts efficiently. D. Model size: This relates to the model's overall capacity and complexity, not directly to the input prompt length. Size impacts performance, not input limits. Therefore, B. Context window is the correct answer.

  👍 5

  Moon2024/12/31
• 正解だと思う選択肢: B

  The context window refers to the maximum number of tokens (words or pieces of words) that a foundation model can process in a single input prompt.

  👍 2

  jove2024/11/05
• 正解だと思う選択肢: B

  B. Context window

  The context window of a foundation model determines the maximum amount of text that can be processed in a single prompt. A larger context window allows for more complex and informative prompts, while a smaller context window limits the amount of information that can be provided.

  The other options are not directly related to the maximum prompt length:

  Temperature: This parameter controls the randomness of the model's output. Batch size: This refers to the number of samples processed in a single batch during training or inference. Model size: This refers to the number of parameters in the model, which affects its complexity and performance. Therefore, when choosing a foundation model for a generative AI application, the company should carefully consider the context window to ensure that it can accommodate the desired input length.

  👍 2

  eesa2024/12/09