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Which metric should they monitor for their customer service LLM application in production?
A Generative AI Engineer just deployed an LLM application at a digital marketing company that assists with answering customer service inquiries. Which metric should they monitor for their customer service LLM application in production?A . Number of customer inquiries processed per unit of timeB . Energy usage per queryC ....
Which approach should NOT be used to mitigate hallucination or confidential data leakage?
A Generative Al Engineer has developed an LLM application to answer 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?A . Add guardrails to filter outputs...
What is the most suitable library for building a multi-step LLM-based workflow?
What is the most suitable library for building a multi-step LLM-based workflow?A . PandasB . TensorFlowC . PySparkD . LangChainView AnswerAnswer: D Explanation: Problem Context: The Generative AI Engineer needs a tool to build a multi-step LLM-based workflow. This type of workflow often involves chaining multiple steps together, such as...
Which will fulfill their need?
A Generative Al Engineer is creating an LLM-based application. The documents for its retriever have been chunked to a maximum of 512 tokens each. The Generative Al Engineer knows that cost and latency are more important than quality for this application. They have several context length levels to choose from....
