WGU D685 PRACTICAL APPLICATIONS OF
PROMPT PA AND OA FULL SOLUTION STUDY
GUIDE
◉ - dependence on training data
- limited common sense
- lack of emotional sense.
Answer: Fundamental limitations of AI include:
◉ - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Answer: Practical limitations of AI include:
◉ - data privacy
- safety
- security concerns
Answer: Societal concerns on AI include:
◉ artificial intelligence (AI)
,Answer: the study of creating machines and computer systems
capable of performing tasks that typically require human
intelligence
◉ 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
PROMPT PA AND OA FULL SOLUTION STUDY
GUIDE
◉ - dependence on training data
- limited common sense
- lack of emotional sense.
Answer: Fundamental limitations of AI include:
◉ - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Answer: Practical limitations of AI include:
◉ - data privacy
- safety
- security concerns
Answer: Societal concerns on AI include:
◉ artificial intelligence (AI)
,Answer: the study of creating machines and computer systems
capable of performing tasks that typically require human
intelligence
◉ 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
