Relativity Generative AI Pro Rxam questions with correct answers

Relativity Generative AI Pro | | |


Study |online |at |https://quizlet.com/_fie780
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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factually incorrect information.: c.Results inwhich alarge languagemodel (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 additional model | | | | | | |


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




c. Generative AI is less computationally expensive.: a. Generative AI does not
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need any additional model
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training.
3. 3. How is a SupportVector Machine (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 instead of review
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instructions to classify documents.
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b. An SVM evaluates documents independently and does
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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 SVM uses 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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, Relativity Generative AI Pro | | |


Study |online |at |https://quizlet.com/_fie780
a. AI models that interpret and generate responses based
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on 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 base
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on human language. | |


5. 5. What does grounding refer to?
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a. Preventing a prompt from running because its content | | | | | | |


exceeds the limits of the context window.
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b. The practice of requiring an AI model to
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provide responses based on verifiable source information 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 driven by pursuing cutting-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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c. AI development is driven by understanding customer
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needs and tailoring solutions to solve their challenges.: c.AI development is drive
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by understanding customer
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needs and tailoring solutions to solve their challenges.
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AI principle #1: "We build AI with purpose that delivers value for our customers." Every
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AI system Relativity creates is designed to help people solve a specific legal
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