Why Other Options are Incorrect: B. Monitoring only the number of requests does not provide enough information about the performance or issues affecting the model endpoint. C. Periodic shutdowns for maintenance can disrupt service and are not a substitute for continuous monitoring. D. Automated monitoring tools are essential for managing the complexity and ensuring that the model endpoints are operating effectively. Which scenario exemplifies an attempt to perform prompt injection (jailbreaking) on a language model?
that the model has enough information to understand and address the customer’s issue effectively. Why Other Options are Incorrect: B. Short, generic prompts may lead to vague or incomplete responses as they do not provide sufficient context. C. Asking multiple questions in a single prompt can overwhelm the model and lead to less focused responses. D. Technical jargon can confuse the model and might not always be necessary for effective customer service interactions. What is a key benefit of using Adapter modules in the fine -tuning of Large Language Models (LLMs)?
How does the integration of a vector database into Retrieval -Augmented Generation (RAG) -based Large Language Models(LLMS) fundamentally alter their responses?
D. LangChain models are suitable for generating personalized advice, chains are effective for integrating with external data sources, and memory helps in maintaining conversational context over multiple sessions, making this combination ideal for developing a sophisticated financial advisor chatbot. Why Other Options are Incorrect:
D. OCI Data Science provides tools and resources for processing, analyzing, and extracting insights from large sets of unstructured data. It complements OCI Generative AI Service by enabling advanced data science capabilities necessary for analyzing and generating reports from diverse data sources. Why Other Options are Incorrect:
Why Other Options are Incorrect:
