Relativity Generative AI Pro Exam 2025
Questions and Answers
1. 1. What are hallucinations?
a. Results in which a large language model (LLM) corrects
incongruencies in the prompt.
b. Results in which a large language model (LLM) ignores
questions asked in the prompt.
c. Results in which a large language model (LLM) presents
factually incorrect information.: c. Results in which a large language model (LLM)
presents
factually incorrect information.
,2. 2. Which of the following is an advantage of generative AI
compared with other types of machine learning AI?
a. Generative AI does not need any additional model
training.
b. Generative AI is always faster at making predictions.
c. Generative AI is less computationally expensive.: a. Generative AI does not
need any additional model
training.
3. 3. How is a Support Vector Machine (SVM), the underlying AI
model of Review Center prioritized queues, different than
generative AI?
a. An SVM uses example documents instead of review
instructions to classify documents.
b. An SVM evaluates documents independently and does
not learn from previous documents.
c. An SVM is pretrained on billions of documents from open
databases and the web.: a. An SVM uses example documents instead of review
instructions to classify documents.
4. 4. What are large language models (LLMs)?
, a. AI models that interpret and generate responses based
on human language.
b. AI models that are specifically trained to generate binary
classifications for a given task.
c. AI models that can predict future trends in continuous
data like metrics over time.: a. AI models that interpret and generate responses
based
on human language.
5. 5. What does grounding refer to?
a. Preventing a prompt from running because its content
exceeds the limits of the context window.
b. The practice of requiring an AI model to
provide responses based on verifiable source information
to mitigate hallucinations.
c. The basic training or instructions given to an AI model in
a particular subject.: b. The practice of requiring an AI model to
provide responses based on verifiable source information
to mitigate hallucinations.
6. 6. What is the primary driver behind the Relativity AI principle
regarding AI development?
a. AI development is driven by pursuing cutting-edge
technologies in order to lead industry trends.
b. AI development is driven by prioritizing AI software
capabilities.
Questions and Answers
1. 1. What are hallucinations?
a. Results in which a large language model (LLM) corrects
incongruencies in the prompt.
b. Results in which a large language model (LLM) ignores
questions asked in the prompt.
c. Results in which a large language model (LLM) presents
factually incorrect information.: c. Results in which a large language model (LLM)
presents
factually incorrect information.
,2. 2. Which of the following is an advantage of generative AI
compared with other types of machine learning AI?
a. Generative AI does not need any additional model
training.
b. Generative AI is always faster at making predictions.
c. Generative AI is less computationally expensive.: a. Generative AI does not
need any additional model
training.
3. 3. How is a Support Vector Machine (SVM), the underlying AI
model of Review Center prioritized queues, different than
generative AI?
a. An SVM uses example documents instead of review
instructions to classify documents.
b. An SVM evaluates documents independently and does
not learn from previous documents.
c. An SVM is pretrained on billions of documents from open
databases and the web.: a. An SVM uses example documents instead of review
instructions to classify documents.
4. 4. What are large language models (LLMs)?
, a. AI models that interpret and generate responses based
on human language.
b. AI models that are specifically trained to generate binary
classifications for a given task.
c. AI models that can predict future trends in continuous
data like metrics over time.: a. AI models that interpret and generate responses
based
on human language.
5. 5. What does grounding refer to?
a. Preventing a prompt from running because its content
exceeds the limits of the context window.
b. The practice of requiring an AI model to
provide responses based on verifiable source information
to mitigate hallucinations.
c. The basic training or instructions given to an AI model in
a particular subject.: b. The practice of requiring an AI model to
provide responses based on verifiable source information
to mitigate hallucinations.
6. 6. What is the primary driver behind the Relativity AI principle
regarding AI development?
a. AI development is driven by pursuing cutting-edge
technologies in order to lead industry trends.
b. AI development is driven by prioritizing AI software
capabilities.
