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You are using IBM watsonx's generative AI model to generate responses for a chatbot, and you want to ensure that the model stops generating text when it encounters a specific phrase like ":End of Response." Which of the following settings for stop sequences is most appropriate to achieve this goal?
A. Set the stop sequence to "<|stop|>"
B. Set the stop sequence to "End of Response"
C. Set the stop sequence to "STOP"
D. Set the stop sequence to " n n"
Answer: B
NEW QUESTION # 262
While working with IBM Watsonx to generate synthetic data, you import a sensitive dataset containing personally identifiable information (PII). You are tasked with anonymizing the imported data before proceeding with any fine-tuning or data augmentation.
Which of the following steps is the most appropriate to ensure proper anonymization?
A. Apply a differential privacy algorithm that ensures no individual data point can be traced back to a specific user.
B. Use a hashing algorithm to replace PII fields while retaining the ability to reverse the process if needed.
C. Generate a synthetic version of the dataset that removes all PII automatically.
D. Randomly shuffle the sensitive data fields to prevent direct re-identification.
Answer: A
NEW QUESTION # 263
Which of the following stopping criteria can help in generating coherent and well-structured text without cutting off mid-sentence or continuing unnecessarily?
A. Stopping when the model generates special end-of-sequence tokens, such as <EOS>
B. Stopping the model after a predetermined number of tokens, regardless of context
C. Monitoring the likelihood of the next token and stopping when the likelihood drops below a threshold
D. Stopping the model only when it reaches the end of a predefined phrase from the input prompt
Answer: A
NEW QUESTION # 264
A company is considering using IBM Watsonx for two different use cases: (1) automating email responses for routine inquiries from customers, and (2) generating creative marketing copy for new product campaigns.
Which of the following best describes the model selection process for these use cases?
A. A single model should be used for both use cases since Watsonx can handle any type of text generation task equally well.
B. Use a large language model fine-tuned for email response generation for both tasks, as the fine-tuning process will enable the model to handle creative tasks as well.
C. Use the smallest possible model to reduce computational costs, regardless of the use case.
D. Choose a domain-specific model for automating email responses and a more generalized model with creative capabilities for generating marketing copy.
Answer: D
NEW QUESTION # 265
You are enhancing an existing relational database system to support vector-based similarity search, integrating RAG into your infrastructure.
Which of the following technologies or approaches represents a valid method for extending a traditional SQL database to handle vector embeddings and similarity searches?
A. Normalizing vector embeddings into relational tables with foreign key constraints
B. Using a full-text indexing engine, such as Elasticsearch, to store the vector embeddings
C. Adding a plugin that provides support for k-nearest neighbors (k-NN) search
D. Using graph database extensions to enable vector embeddings within a SQL database
Answer: C
NEW QUESTION # 266
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