concerned about fairness and accountability in their AI system and want to ensure the model doesn't discriminate against specific groups. Which of the following actions is the most effective way to ensure responsible AI practices are followed using OCI?
D. Forecasting the monthly revenue of a company for the next year Explanation: Forecasting the monthly revenue of a company for the next year is an illustration of regression in supervised learning. This scenario involves predicting a continuous numerical value based on historical data, which is the essence of regression analysis. Which of the following is a key challenge when fine-tuning a large language model (LLM), and what is a recommended best practice to address it?
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?
D. Fairness Explanation: Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision -making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically. What is the benefit of using embedding models in OCI Generative AI service?
supervised learning?
