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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q211-Q216):

NEW QUESTION # 211
You are tasked with fine-tuning a large language model (LLM) using IBM's InstructLab to improve performance for a specific customer service task. The goal is to enhance the model's ability to answer questions related to account management and customer complaints.
Which of the following actions is NOT a component of the fine-tuning process in InstructLab?

A. Selecting and preprocessing a representative dataset of customer interactions for training
B. Defining specific task instructions that the model will follow during inference
C. Tuning the learning rate to prevent overfitting during the fine-tuning process
D. Directly adjusting the model's architecture to increase the number of attention heads in the transformer

Answer: D

NEW QUESTION # 212
When tuning the generative model parameters, which of the following scenarios describes an appropriate use of the maximum tokens setting, and how will it influence the model's output?

A. Setting the maximum tokens to 100 will prevent the model from generating coherent sentences, as it cuts off abruptly after 100 tokens
B. Setting the maximum tokens to 500 will guarantee that the model always generates exactly 500 tokens
C. Setting the maximum tokens to 0 will allow the model to generate an unlimited amount of text
D. Setting the maximum tokens to 100 ensures that the model's output will not exceed 100 tokens, but it may stop earlier if the generation ends naturally

Answer: D

NEW QUESTION # 213
You are analyzing prompts submitted to a Generative AI model used for summarizing long research papers.
One user submits the following prompt: "Summarize this 40-page research paper on quantum computing, including details on every section and subsection, providing a detailed description of key points, methodologies, results, discussions, and future work. The summary should be at least 5 pages long." Why is this prompt considered inefficient, and how should it be optimized?

A. The prompt is inefficient because it does not specify a character limit, which means the model might generate overly verbose output.
B. The prompt is inefficient because it requests a 5-page summary, which is unnecessary for summarizing the key information from a research paper.
C. The prompt is efficient because it clearly outlines the expectations and ensures a comprehensive summary.
D. The prompt is inefficient because it asks for too much detail across all sections, leading to excessive token usage and unnecessary information in the output.

Answer: D

NEW QUESTION # 214
You are optimizing a generative AI model using prompts. You are tasked with choosing between a hard prompt and a soft prompt for generating a technical report.
Which option best describes a soft prompt in this context?

A. A prompt that directly instructs the model with domain-specific keywords and structured language to steer the model's output.
B. A manually written prompt that is optimized using a grid search of the best keywords and patterns for the task.
C. A prompt that influences the model by embedding learned vectors into the input, modifying the generation behavior indirectly.
D. A prompt that restricts the model's output using hard-coded rules to ensure specific behavior during generation.

Answer: C

NEW QUESTION # 215
In the context of using Tuning Studio in IBM watsonx, which of the following is the primary benefit of fine-tuning a pre-trained Generative AI model using this tool?

A. Increases the size of the model to handle more complex prompts.
B. Improves model performance on domain-specific tasks without retraining from scratch.
C. Allows you to train the model from scratch on a new dataset.
D. Reduces the time needed to generate text responses by simplifying the model's architecture.

Answer: B

NEW QUESTION # 216
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IBM C1000-185 New Braindumps Ebook - Related C1000-185 Certifications

Related C1000-185 Certifications | C1000-185 Answers Real Questions

IBM watsonx Generative AI Engineer - Associate Sample Questions (Q211-Q216):

100% Pass Quiz IBM - Updated C1000-185 New Braindumps Ebook

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