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A Generative Al Engineer is tasked with developing an application that is based on an open sourcelarge language model (LLM). They need a foundation LLM with a large context window.Which model fits this need
A. DistilBERT
B. MPT-30B
C. Llama2-70B
D. DBRX
A Generative AI Engineer received the following business requirements for an external chatbot.The chatbot needs to know what types of questions the user asks and routes to appropriate modelsto answer the questions. For example, the user might ask about upcoming event details. Anotheruser might ask about purchasing tickets for a particular event.What is an ideal workflow for such a chatbot?
A. The chatbot should only look at previous event information
B. There should be two different chatbots handling different types of user queries.
C. The chatbot should be implemented as a multi-step LLM workflow. First, identify the type ofquestion asked, then route the question to the appropriate model. If its an upcoming eventquestion, send the query to a text-to-SQL model. If its about ticket purchasing, the customer shouldbe redirected to a payment platform.
D. The chatbot should only process payments
A Generative AI Engineer is building a RAG application that will rely on context retrieved from sourcedocuments that are currently in PDF format. These PDFs can contain both text and images. They wantto develop a solution using the least amount of lines of code.Which Python package should be used to extract the text from the source documents?
A. flask
B. beautifulsoup
C. unstructured
D. numpy
A team wants to serve a code generation model as an assistant for their software developers. Itshould support multiple programming languages. Quality is the primary objective.Which of the Databricks Foundation Model APIs, or models available in the Marketplace, would b the best fit?
A. Llama2-70b
B. BGE-large
C. MPT-7b
D. CodeLlama-34B
A Generative AI Engineer is designing a chatbot for a gaming company that aims to engage users onits platform while its users play online video games.Which metric would help them increase user engagement and retention for their platform?
A. Randomness
B. Diversity of responses
C. Lack of relevance
D. Repetition of responses