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New C1000-185 Valid Exam Labs 100% Pass | Latest C1000-185: IBM watsonx Generative AI Engineer - Associate 100% Pass

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q363-Q368):

NEW QUESTION # 363
You are experimenting with a generative AI model to write a personalized email response template. You want to ensure that the output maintains a formal tone but occasionally produces creative phrasing without making nonsensical sentences. You are advised to adjust the top-p (nucleus sampling) parameter.
Which of the following settings would most effectively balance between formal coherence and occasional creativity in the generated output?

A. Set top-p to 0.95
B. Set top-p to 1.0
C. Set top-p to 0.5
D. Set top-p to 0.0

Answer: A

NEW QUESTION # 364
You are tasked with creating a prompt template for generating environment descriptions in a generative AI model, which will be used for creating immersive virtual spaces.
Which of the following prompt best serves as a flexible template to generate diverse environment descriptions?

A. "Describe a futuristic city with towering skyscrapers and flying cars."
B. "Create a detailed description of a quiet forest during sunrise, focusing on the natural beauty of the trees, birds, and atmosphere."
C. "Write about a dense jungle where wild animals roam freely, and the atmosphere is tense, full of suspense."
D. "Describe an environment where {mood} dominates, with {surroundings} contributing to the overall {atmosphere}. Include {time_of_day} and any other important details."

Answer: D

NEW QUESTION # 365
In a scenario where a large language model (LLM) is integrated into a customer support application, the model is designed to retrieve relevant product information to answer complex user queries. The dataset consists of diverse product documents, including PDFs, user manuals, and website pages.
Which of the following best describes when to use a vector database as part of the Retrieval-Augmented Generation (RAG) approach?

A. When the dataset consists mainly of structured tabular data and relational queries.
B. When there is a need to perform efficient keyword-based search on highly structured documents.
C. When there is a requirement to process large volumes of streaming data in real-time, and exact matching is the priority.
D. When the data consists of diverse unstructured documents, and you need to retrieve semantically similar content using dense vector representations.

Answer: D

NEW QUESTION # 366
You are tasked with implementing a Retrieval-Augmented Generation (RAG) pipeline for a customer service chatbot. Your goal is to ensure that the model can query a vast knowledge base, retrieve relevant documents, and generate responses that reference these documents. You are using the transformers and faiss libraries in Python to achieve this. After retrieving the relevant passages, the generative model will then process them to formulate a final response.
What is the most appropriate sequence of steps for implementing this RAG pipeline?

A. Initialize the generative model -> Use FAISS to encode the retrieved documents -> Pass the encoded documents to the transformer model for response generation.
B. Encode the query using FAISS -> Use the transformer model to retrieve documents from the knowledge base -> Generate a response using the encoded documents.
C. Generate the response first using the transformer model -> Retrieve documents from the knowledge base -> Encode the documents using FAISS -> Use the retrieved documents to fine-tune the generated response.
D. Use the FAISS library to create an index -> Encode the input query using the transformer model -> Retrieve the most relevant documents -> Pass the retrieved documents to the generative model for response generation.

Answer: D

NEW QUESTION # 367
You are tasked with developing a RAG system that integrates a transformer-based language model with a large document corpus. To speed up the development process, you are considering using specialized libraries designed for RAG.
Which of the following reasons best explains why these libraries are essential for your development process?

A. They provide pre-trained retrieval models and generators, eliminating the need for any fine-tuning or customization of the system.
B. They streamline the integration of retrievers and generators, providing out-of-the-box support for embedding models and vector databases.
C. They allow for the retrieval of documents based purely on keyword search, optimizing for exact match over semantic similarity.
D. They provide a graphical interface for users to build RAG systems without requiring any programming knowledge.

Answer: B

NEW QUESTION # 368
......

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