early layers. Which of the following operations is likely causing this issue, and what could you do to mitigate it?
C. Use Generative AI to fully automate customer responses without any human involvement to reduce operational costs. D. Implement post-processing steps to review and edit AI-generated content before it reaches the customer to ensure accuracy and appropriateness. Explanation: Implementing post-processing steps to review and edit AI-generated content ensures accuracy and appropriateness before it reaches the customer, helping to maintain the quality of interactions and adhere to regulatory standards. You are a business analyst at a retail company, and your team wants to build a machine learning model to forecast sales. However, your team lacks extensive data science expertise. You decide to explore Oracle Cloud Infrastructure’s AutoML capabilities to automatically generate and train a machine learning model. The data you have is organized in an Oracle Autonomous Data Warehouse, and you aim to get predictions quickly to make business decisions. Which of the following strategies would best help you leverage OCI’s AutoML capabilities to build and train a machine learning model for sales forecasting?
D. Fine-tuning adapts a general -purpose LLM to specialize in a particular domain by updating model parameters with domain -relevant data, improving performance on task -specific queries. Explanation: Fine-tuning adapts a general -purpose LLM to specialize in a particular domain by updating model parameters with domain -relevant data, which enhances performance on specific task-related queries. You are tasked with detecting objects in a set of images to classify them into different categories. Which Oracle Cloud Infrastructure (OCI) AI service would be the best solution for this requirement?
understanding and generation. Explanation: Using OCI Data Science with a pre -trained Large Language Model (LLM) for natural language understanding and generation is the best approach for building a chatbot capable of handling diverse patient inquiries. Which of the following best describes the role of a Transformer in the context of Large Language Models (LLMs) and Generative AI?
Thus, the key difference is that Prompt Engineering focuses on how to use the model effectively through input manipulation, while Fine -tuning involves altering the model itself to improve its performance on specialized tasks. What can Oracle Cloud Infrastructure Document Understanding NOT do?
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