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Relativity Generative AI Pro Exam 2025 Questions and Answers

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Relativity Generative AI Pro Exam 2025 Questions and AnswersRelativity Generative AI Pro Exam 2025 Questions and AnswersRelativity Generative AI Pro Exam 2025 Questions and Answers

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Relativity Generative AI Pro
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Institution
Relativity Generative AI Pro
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Relativity Generative AI Pro

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Uploaded on
November 24, 2025
Number of pages
27
Written in
2025/2026
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Relativity Generative AI Pro Exam 2025
Questions and Answers




1. 1.What are hallucinations?
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a. Results in which a large language model (LLM) corrects
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incongruencies in the prompt.
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b. Results in which a large language model (LLM) ignores
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questions asked in the prompt.
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c. Results in which a large language model (LLM) presents
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factuallyincorrectinformation.:c.Resultsinwhichalargelanguagemodel(LLM)
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presents
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factually incorrect information.
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,2. 2.Which of the following is an advantage of generative AI
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compared with other types of machine learning AI?
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a. Generative AI does not need any additionalmodel zm zm zm zm zm zm zm




training.
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b. Generative AI is always faster at making predictions. zm zm zm zm zm zm zm




c. Generative AI is less computationally expensive.:a.Generative AI doesnot zm zm zm zm zm zm zm zm zm zm




need any additional model
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training.

3. 3.How is a SupportVectorMachine (SVM),the underlying AI
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model of Review Center prioritized queues, different than
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generative AI?
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a. An SVM uses example documents insteadofreview
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instructions to classify documents.
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b. An SVMevaluates documents independently anddoes
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not learn from previous documents.
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c. An SVM is pretrained on billions of documents from open
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databases and the web.:a.An SVMuses example documents instead of review
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instructions to classify documents.
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4. 4.What are large language models (LLMs)?
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, a. AI models that interpret and generate responses based on
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human language.
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b. AI models that are specifically trained to generate binary
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classifications for a given task.
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c. AI models that can predict future trends in continuous
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data like metrics over time.:a.AI models that interpret and generate responses based
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on human language.
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5. 5.What does grounding refer to?
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a. Preventinga prompt from running because its content zm zm zm zm zm zm zm




exceeds the limits of the context window.
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b. The practice of requiring an AI model to
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provideresponsesbasedonverifiablesourceinformation to
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mitigate hallucinations.
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c. The basic training or instructions given to an AI model in a
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particular subject.:b.The practice of requiring an AI model to
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provide responses based on verifiable source information
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to mitigate hallucinations.
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6. 6.What is the primary driver behind the Relativity AI principle
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regarding AI development?
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a. AI development is drivenby pursuingcutting-edge
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technologies in order to lead industry trends.
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b. AI development is driven by prioritizing AI software
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capabilities.
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