QUESTION NO: 1
A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?
A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?
Correct Answer: C
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QUESTION NO: 2
You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients ' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?
You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients ' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?
Correct Answer: C
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QUESTION NO: 3
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?
Correct Answer: A
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QUESTION NO: 4
What is " in-context learning " in the realm of Large Language Models (LLMs)?
What is " in-context learning " in the realm of Large Language Models (LLMs)?
Correct Answer: A
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QUESTION NO: 5
In machine learning, what does the term " model training " mean?
In machine learning, what does the term " model training " mean?
Correct Answer: A
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