the responses produced by the LLM. This technique restricts the model to consider only the top -k probable next words, resulting in more concise and relevant answers aligned with the context of the user's question. Which two statements correctly describe the core concepts of Generative AI models? (Select two)
You are tasked with deploying a Large Language Model (LLM) within Oracle Cloud Infrastructure (OCI) for a multinational retail company. The company wants to use the model to analyze customer feedback across various regions. However, they are concerned about ethical issues, including potential biases in the model's responses. Which of the following strategies should you employ to mitigate bias while leveraging OCI services for this project?
supervised learning?
C. OCI Vision Service – Object Detection D. OCI Vision Service – Image Augmentation Explanation: For the retail company's requirement to automate product quality control and detect defects in real-time, the most suitable feature of the OCI Vision service is Object Detection. This feature enables the identification and localization of defects such as scratches, misaligned labels, and missing components within images, making it ideal for visual inspection tasks. Which component of the OCI Data Science service is responsible for the training and evaluation of machine learning models, allowing data scientists to define their training environments and compute resources?
allowing the model to learn from accurately labeled examples and improve its performance on specific tasks. Fine-tuning Large Language Models (LLMs) often involves adjusting a pre-trained model on a specific task. Which of the following is not a common use case for fine -tuning an LLM?
➢ TOTAL QUESTIONS:300 What is the key feature of Recurrent Neural Networks (RNNs)?
