C1000-185 RELIABLE TEST REVIEW - NEW C1000-185 EXAM REVIEW

C1000-185 Reliable Test Review - New C1000-185 Exam Review

C1000-185 Reliable Test Review - New C1000-185 Exam Review

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Tags: C1000-185 Reliable Test Review, New C1000-185 Exam Review, Examcollection C1000-185 Free Dumps, Latest C1000-185 Exam Questions, Practice C1000-185 Exam Online

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q259-Q264):

NEW QUESTION # 259
You are working on a generative AI model for a wide variety of language generation tasks. Your team is debating whether to use soft prompts for optimizing the model's performance.
Which of the following is an accurate benefit of using soft prompts, and what is a potential drawback?

  • A. Benefit: Soft prompts can optimize performance without retraining the model. Drawback: They are computationally expensive to tune during inference.
  • B. Benefit: Soft prompts offer more control over the output. Drawback: Soft prompts require additional manual engineering for each task.
  • C. Benefit: Soft prompts allow for fine-grained control during inference. Drawback: Soft prompts may lead to lower performance with large datasets.
  • D. Benefit: Soft prompts reduce the amount of explicit data needed for training. Drawback: Soft prompts might not generalize well across domains.

Answer: D


NEW QUESTION # 260
You are tasked with designing a prompt template to assist a chatbot in generating professional email responses for customer service inquiries. The system should prioritize politeness, clarity, and conciseness.
What elements should be included in the prompt template to achieve the best results, considering optimal behavior of a large language model (LLM)? (Select two)

  • A. Provide the customer's emotional context for better alignment with the tone
  • B. Include examples of informal customer service responses for variability
  • C. Specify the output tone as polite and professional
  • D. Ask the model to generate multiple versions of the response and rank them
  • E. Instruct the model to limit responses to a specific character count

Answer: C,E


NEW QUESTION # 261
What is a key benefit of using Prompt Lab in IBM Watsonx to build reusable prompts for generative AI applications?

  • A. Prompt Lab allows for the creation of templates with dynamic placeholders, making it easier to reuse prompts in various contexts without modification.
  • B. Prompt Lab automatically adjusts prompts based on the user's previous interactions, ensuring personalized output.
  • C. Prompt Lab uses predefined responses to train the model, eliminating the need for further prompt experimentation.
  • D. Prompt Lab uses machine learning to automatically improve prompts over time without the need for developer intervention.

Answer: A


NEW QUESTION # 262
You are tasked with generating synthetic data for a fine-tuning task on an IBM watsonx model. The goal is to mimic the distribution of existing training data while ensuring the synthetic data maintains its statistical similarity to the original. You are provided with two algorithms, Algorithm A (Kolmogorov-Smirnov Test) and Algorithm B, to assess the similarity between the original and synthetic data distributions.
Which of the following best describes how you should implement synthetic data generation using the User Interface and choose the correct algorithm?

  • A. Use the User Interface to generate synthetic data and validate it using Algorithm B, which assesses the overall shape of the distributions but does not provide a significance test for statistical similarity.
  • B. Use the User Interface to generate synthetic data and validate it using Algorithm A, which compares the distributions' mean values to ensure close alignment.
  • C. Use Algorithm A (Kolmogorov-Smirnov Test) to match the covariance matrix of the original and synthetic data distributions, ensuring high correlation between data points.
  • D. Use Algorithm A (Kolmogorov-Smirnov Test) to compare the original and synthetic data distributions, checking for deviations across the entire data range.

Answer: D


NEW QUESTION # 263
You are implementing a few-shot prompting strategy with IBM Watsonx to improve the model's performance in generating customer service responses. The goal is to ensure the model understands the tone and format required for polite and concise replies.
Which of the following strategies best illustrates the correct way to use few-shot prompting?

  • A. Provide example prompts with multiple different output styles to give the model a range of responses to choose from.
  • B. Use only negative examples in the prompt to show the model what not to generate in terms of tone and format.
  • C. Provide one or two well-structured examples that demonstrate the expected tone and format of the customer service responses within the prompt.
  • D. Include a large number of examples, typically over 10, in the input prompt to ensure the model learns from diverse cases.

Answer: C


NEW QUESTION # 264
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