Why Other Options are Incorrect:
lead to outdated responses. C. Building a custom model from scratch may not be as efficient or up-to-date as integrating live data with existing models. D. Storing data in Oracle Autonomous Data Warehouse does not automatically ensure that the model has access to the latest data in real -time. In a scenario where you need to enhance the performance of a language model by integrating domain - specific data, which of the following Oracle Cloud Infrastructure (OCI) Generative AI Service features would be most appropriate to use?
D. GenerativeAI is focused on generative models for text and images, not time series. When deploying a Large Language Model (LLM) application with OCI Generative AI Service, which of the following steps is essential to ensure optimal performance and cost -efficiency?
Explanation: C. The attention mechanism allows Transformer models to focus on different parts of the input sequence dynamically, enhancing their ability to understand context and relationships within the data. This ability to attend to relevant parts of the input improves the model’s performance on natural language tasks by providing better contextual understanding. Why Other Options are Incorrect:
Cosine Distance: Focuses on the orientation of the vectors regardless of their magnitude. It measures the cosine of the angle between two vectors, which normalizes the vectors to unit length. This makes it a measure of the angle (or orientation) between the vectors, providing a similarity score that is independent of the vector lengths. Reference: Research papers on text embedding comparison metrics Technical documentation on vector similarity measures Which is a cost -related benefit of using vector databases with Large Language Models (LLMs)?
C. Freezing the first few layers of the pre -trained model. D. Training the model on a single class of data to simplify the task. Explanation: A diverse and representative fine-tuning dataset is essential to ensure the model maintains its generalization ability and performs well on unseen data. Why Other Options Are Incorrect: B. While a small learning rate and numerous epochs can help, they alone do not ensure generalization. C. Freezing layers can limit the model's ability to adapt to new tasks. D. Training on a single class can lead to overfitting and poor generalization. What is the primary purpose of using a Term Frequency -Inverse Document Frequency (TF-IDF) metric in information retrieval?
