WGU D685 PRACTICAL APPLICATIONS OF
PROMPT PA AND OA QUESTIONS AND
SOLUTIONS GRADED A+
◉ narrow AI.
Answer: artificial intelligence that is designed and trained for a
specific task or narrow set of tasks
◉ general AI.
Answer: a hypothetical future AI system that would possess human-
level intelligence
◉ algorithms.
Answer: defined methods or processes employed to train models,
generate predictions, and execute tasks using data
◉ machine learning.
Answer: a branch of AI that enables computers to improve their
performance through experience without needing explicit
programming
◉ AI model.
,Answer: a computer program designed to make predictions or
decisions based on input data
◉ supervised learning.
Answer: a technique where a model is trained using data that
includes labeled examples, such as images with tagged objects or
text with marked entities
◉ unsupervised learning.
Answer: a type of machine learning where the model is trained on
unlabeled data without explicit guidance or supervision
◉ reinforcement learning.
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks.
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from data
called training to recognize patterns, make predictions, and perform
tasks such as classification, regression, and pattern recognition
◉ deep learning.
,Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ generative AI.
Answer: AI systems that can create new content
◉ large language models (LLMs).
Answer: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like
language
◉ natural language processing (NLP).
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ chatbots.
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and even
offering emotional support
◉ computer vision.
, Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
◉ robotics.
Answer: the field of AI that focuses on designing, constructing, and
operating robots
◉ statistical analysis.
Answer: a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and
make predictions
◉ AI tools.
Answer: software programs designed to assist users in performing
AI-related tasks
◉ Machine learning.
Answer: a key component of AI that enables computers to learn and
improve without being explicitly programmed by humans.
◉ Algorithms.
Answer: specific procedures or methods used to train models, make
predictions, and perform tasks based on data.
PROMPT PA AND OA QUESTIONS AND
SOLUTIONS GRADED A+
◉ narrow AI.
Answer: artificial intelligence that is designed and trained for a
specific task or narrow set of tasks
◉ general AI.
Answer: a hypothetical future AI system that would possess human-
level intelligence
◉ algorithms.
Answer: defined methods or processes employed to train models,
generate predictions, and execute tasks using data
◉ machine learning.
Answer: a branch of AI that enables computers to improve their
performance through experience without needing explicit
programming
◉ AI model.
,Answer: a computer program designed to make predictions or
decisions based on input data
◉ supervised learning.
Answer: a technique where a model is trained using data that
includes labeled examples, such as images with tagged objects or
text with marked entities
◉ unsupervised learning.
Answer: a type of machine learning where the model is trained on
unlabeled data without explicit guidance or supervision
◉ reinforcement learning.
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks.
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from data
called training to recognize patterns, make predictions, and perform
tasks such as classification, regression, and pattern recognition
◉ deep learning.
,Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ generative AI.
Answer: AI systems that can create new content
◉ large language models (LLMs).
Answer: a type of machine learning model that is trained on massive
amounts of text data to understand and generate human-like
language
◉ natural language processing (NLP).
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ chatbots.
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and even
offering emotional support
◉ computer vision.
, Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such as
images and videos
◉ robotics.
Answer: the field of AI that focuses on designing, constructing, and
operating robots
◉ statistical analysis.
Answer: a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and
make predictions
◉ AI tools.
Answer: software programs designed to assist users in performing
AI-related tasks
◉ Machine learning.
Answer: a key component of AI that enables computers to learn and
improve without being explicitly programmed by humans.
◉ Algorithms.
Answer: specific procedures or methods used to train models, make
predictions, and perform tasks based on data.
