Which of the following is a key challenge when training Large Language Models (LLMs) for use in Oracle Cloud Infrastructure (OCI) AI services?
C. Training data is fed into the model to optimize its hyperparameters through trial and error. D. Training data serves as a way to manually verify the model's predictions and make corrections. Explanation: Training data is used to automatically adjust the model's parameters to minimize error during learning. The training data provides the examples that the model learns from, enabling it to make predictions. What is the primary difference between prompt engineering and instruction tuning when working with Large Language Models (LLMs) in the context of Oracle Cloud Infrastructure AI Foundations?
B: CNNs use weight sharing in the convolutional layers to reduce the number of parameters, improving computational efficiency. E: CNNs' hierarchical structure allows for progressive feature abstraction, where simple patterns are detected in earlier layers, and complex patterns are recognized in deeper layers. Both characteristics are essential for handling large -scale image classification tasks effectively. Which of the following is a key difference between supervised and unsupervised learning in Machine Learning (ML)?
What is the primary benefit of using Oracle Cloud Infrastructure (OCI) AutoML in the machine learning workflow?
effective to reduce overfitting in this CNN?
C. OCI only provides raw AI tools and libraries, leaving all responsibility for bias detection, transparency, and accountability to the developers. D. OCI AI Services offer built-in tools to assess and mitigate bias in machine learning models, promoting fairness and accountability. Explanation: Oracle Cloud Infrastructure (OCI) AI Services enable developers to implement Responsible AI practices by offering built-in tools to assess and mitigate bias in machine learning models, promoting fairness and accountability. This approach supports developers in creating ethical AI systems. Which of the following statements best describes a primary use case of Generative AI in Oracle Cloud Infrastructure (OCI)?
