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A Generative AI Engineer wants to build an LLM-based solution to help a restaurant improve its online customer experience with bookings by automatically handling common customer inquiries. The goal of the solution is to minimize escalations to human intervention and phone calls while maintaining a personalized interaction. To design the solution, the Generative AI Engineer needs to define the input data to the LLM and the task it should perform.Which input/output pair will support their goal?
A Generative AI Engineer developed an LLM application using the provisioned throughput Foundation Model API. Now that the application is ready to be deployed, they realize their volume of requests are not sufficiently high enough to create their own provisioned throughput endpoint. They want to choose a strategy that ensures the best cost-effectiveness for their application.What strategy should the Generative AI Engineer use?
A Generative Al Engineer interfaces with an LLM with prompt/response behavior that has been trained on customer calls inquiring about product availability. The LLM is designed to output “In Stock” if the product is available or only the term “Out of Stock” if not.Which prompt will work to allow the engineer to respond to call classification labels correctly?
What is the most suitable library for building a multi-step LLM-based workflow?
A Generative AI Engineer is developing a patient-facing healthcare-focused chatbot. If the patient’s question is not a medical emergency, the chatbot should solicit more information from the patient to pass to the doctor’s office and suggest a few relevant pre-approved medical articles for reading. If the patient’s question is urgent, direct the patient to calling their local emergency services.Given the following user input:“I have been experiencing severe headaches and dizziness for the past two days.” Which response is most appropriate for the chatbot to generate?
A Generative AI Engineer is developing an LLM application that users can use to generate personalized birthday poems based on their names.Which technique would be most effective in safeguarding the application, given the potential for malicious user inputs?
A Generative Al Engineer has developed an LLM application to option questions about internal company policies. The Generative AI Engineer must ensure that the application doesn’t hallucinate or leak confidential data.Which approach should NOT be used to mitigate hallucination or confidential data leakage?
When developing an LLM application, it’s crucial to ensure that the data used for training the model complies with licensing requirements to avoid legal risks.Which action is NOT appropriate to avoid legal risks?
A Generative AI Engineer has a provisioned throughput model serving endpoint as part of a RAGapplication and would like to monitor the serving endpoint’s incoming requests and outgoing responses. The current approach is to include a micro-service in between the endpoint and the user interface to write logs to a remote server.Which Databricks feature should they use instead which will perform the same task?
A team wants to serve a code generation model as an assistant for their software developers. It should support multiple programming languages. Quality is the primary objective.Which of the Databricks Foundation Model APIs, or models available in the Marketplace, would be the best fit?
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