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In the context of decoding methods in IBM Watsonx Generative AI, both top-k and top-p sampling are used to control the output of the model.
Which of the following statements correctly distinguishes between top-k and top-p sampling?
A. Top-k sampling samples from a dynamic range of tokens, while top-p sampling restricts choices to a fixed number of tokens.
B. Top-p sampling ensures deterministic outputs, whereas top-k sampling guarantees random selection from the entire vocabulary.
C. Both top-k and top-p sampling ensure that no tokens are selected with a probability below the set threshold, regardless of their context.
D. Top-p sampling allows for a more flexible token selection process based on cumulative probabilities, while top-k limits token selection to a fixed number of top choices.
Answer: D
NEW QUESTION # 215
You are optimizing a generative AI prompt for creative content generation, but you want to ensure that outputs with the same prompt can vary slightly across multiple runs to maintain freshness in the responses.
Which parameter should you adjust to strike a balance between random variability and consistent quality?
A. Top-p = 0.9, Temperature = 1.0, Random Seed unset
B. Max Tokens = 300, Random Seed set to 42
C. Temperature = 0.1, Random Seed unset
D. Set a fixed Random Seed to zero
Answer: A
NEW QUESTION # 216
You are working on a project that involves deploying a series of prompt templates for a large language model on the IBM Watsonx platform. The team has requested a system that supports prompt versioning so that updates to the prompts can be tracked and tested over time.
Which of the following is the most important consideration when planning prompt versioning for deployment?
A. Version control should focus exclusively on the syntactical structure of the prompts, as changes to prompt content rarely impact the model's performance.
B. Prompts should be stored in a proprietary IBM format, as other formats are not compatible with the Watsonx platform when using versioning.
C. Each version of the prompt must have a unique identifier that can be referenced during model inference, to avoid conflicting results from different prompt versions.
D. The versioning system should automatically downgrade to the previous prompt version if the model returns a confidence score below a certain threshold during inference.
Answer: C
NEW QUESTION # 217
You are fine-tuning a generative AI model in IBM Watsonx and need to define appropriate stopping criteria to ensure the generated text is relevant and coherent.
Which of the following would be an example of a valid stopping criterion for a text generation task?
A. The model will stop generating text once a predefined number of characters is reached, ensuring that the output does not exceed a set length.
B. The model will stop generating text when it encounters a special end-of-sequence token or punctuation such as a period or question mark.
C. The model will stop generating text once it detects a repetitive sequence of words or phrases, automatically cutting off redundancy.
D. The model will stop generating text once the average probability of each word in the output falls below a 50% threshold.
Answer: B
NEW QUESTION # 218
You are optimizing a Generative AI model for a business application where cost savings are a priority.
Which of the following modifications to the model's parameters will most effectively reduce the overall generation cost while minimizing the loss of output quality?
A. Decrease the model's context window size.
B. Set a lower value for the frequency penalty parameter.
C. Reduce the number of layers in the neural network during inference.
D. Set a lower value for the top-p (nucleus sampling) parameter.
Answer: D
NEW QUESTION # 219
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