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Questions and answers for the oracle 1z0-1122-23 exam related to machine learning concepts and oracle cloud infrastructure ai foundations associate. It covers topics such as model training, primary goal of machine learning, role of tokens in large language models, handling the trade-off between model size, data quality, data size and performance, and the purpose of attention mechanism in transformer architecture.
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In machine learning, what does the term "model training" mean? A. Analyzing the accuracy of a trained model B. Establishing a relationship between Input features and output C. Writing code for the entire program D. Performing data analysis on collected and labeled data
Explanation: Model training is the process of finding the optimal values for the model parameters that minimize the error between the model predictions and the actual output. This is done by using a learning algorithm that iteratively updates the parameters based on the input features and the output 1. Reference: Oracle Cloud Infrastructure Documentation
What is the primary goal of machine learning? A. Enabling computers to learn and improve from experience B. Explicitly programming computers C. Creating algorithms to solve complex problems D. Improving computer hardware
Explanation: Machine learning is a branch of artificial intelligence that enables computers to learn from data and experience without being explicitly programmed. Machine learning algorithms can adapt to new data and situations and improve their performance over time 2. Reference: Artificial Intelligence (AI) | Oracle
What role do tokens play in Large Language Models (LLMs)? A. They represent the numerical values of model parameters. B. They are used to define the architecture of the model's neural network.
focus on the most relevant parts of the input and output sequences. It computes a weighted sum of the input or output embeddings, where the weights indicate how much each word contributes to the representation of the current word. The attention mechanism helps the model capture the long- range dependencies and the semantic relationships between words in a sequence 12. Reference: The Transformer Attention Mechanism - MachineLearningMastery.com, Attention Mechanism in the Transformers Model - Baeldung
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