WGU D685 - PRACTICAL APPLICATIONS OF
PROMPT OA AND PA |LATEST UPDATED 2026/2027
|A COMPLETE SOLUTION WITH VERIFIED
QUESTIONS AND ANSWERS WITH RATIONALES
|GET IT 100% CORRECT |GRADED A+
The limitations of AI can be categorized into three main areas:
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Fundamental limitations of AI include:
- dependence on training data
- limited common sense
- lack of emotional sense.
Practical limitations of AI include:
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Societal concerns on AI include:
- data privacy
- safety
- security concerns
artificial intelligence (AI)
the study of creating machines and computer systems capable of
performing tasks that typically require human intelligence
narrow AI
,artificial intelligence that is designed and trained for a specific task or
narrow set of tasks
general AI
a hypothetical future AI system that would possess human-level
intelligence
algorithms
defined methods or processes employed to train models, generate
predictions, and execute tasks using data
machine learning
a branch of AI that enables computers to improve their performance
through experience without needing explicit programming
AI model
a computer program designed to make predictions or decisions based on
input data
supervised learning
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
a type of machine learning where the model is trained on unlabeled data
without explicit guidance or supervision
reinforcement learning
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
,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
a powerful subset of machine learning that uses artificial neural networks
to learn from large amounts of data
generative AI
AI systems that can create new content
large language models (LLMs)
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)
the field of AI concentrated on enabling computers to understand and
engage with human language, mirroring the intricacies of human
communication
chatbots
AI programs designed to engage in natural conversations with people,
providing information, answering questions, and even offering emotional
support
computer vision
a field of artificial intelligence that enables computers to interpret and
analyze visual information from the real world, such as images and videos
robotics
the field of AI that focuses on designing, constructing, and operating
robots
statistical analysis
, a technique employed in AI that involves collecting, organizing,
examining, and interpreting data to identify patterns and make
predictions
AI tools
software programs designed to assist users in performing AI-related tasks
This is an example of Few-Shot Prompting
Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
structured data
data that is organized in a well-defined format and is typically stored in
databases or spreadsheets
unstructured data
includes text documents, images, videos, audio recordings, social media
posts, and other types of data that do not fit neatly into a structured
format
byte
a unit of digital information
gigabyte (GB)
a unit of digital information equal to approximately one billion bytes
terabyte (TB)
a unit of digital information equal to approximately one trillion bytes
hallucinations
an incorrect, misleading, nonsensical, or entirely fabricated output
generated by an AI model
adversarial attack
PROMPT OA AND PA |LATEST UPDATED 2026/2027
|A COMPLETE SOLUTION WITH VERIFIED
QUESTIONS AND ANSWERS WITH RATIONALES
|GET IT 100% CORRECT |GRADED A+
The limitations of AI can be categorized into three main areas:
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Fundamental limitations of AI include:
- dependence on training data
- limited common sense
- lack of emotional sense.
Practical limitations of AI include:
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Societal concerns on AI include:
- data privacy
- safety
- security concerns
artificial intelligence (AI)
the study of creating machines and computer systems capable of
performing tasks that typically require human intelligence
narrow AI
,artificial intelligence that is designed and trained for a specific task or
narrow set of tasks
general AI
a hypothetical future AI system that would possess human-level
intelligence
algorithms
defined methods or processes employed to train models, generate
predictions, and execute tasks using data
machine learning
a branch of AI that enables computers to improve their performance
through experience without needing explicit programming
AI model
a computer program designed to make predictions or decisions based on
input data
supervised learning
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
a type of machine learning where the model is trained on unlabeled data
without explicit guidance or supervision
reinforcement learning
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
,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
a powerful subset of machine learning that uses artificial neural networks
to learn from large amounts of data
generative AI
AI systems that can create new content
large language models (LLMs)
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)
the field of AI concentrated on enabling computers to understand and
engage with human language, mirroring the intricacies of human
communication
chatbots
AI programs designed to engage in natural conversations with people,
providing information, answering questions, and even offering emotional
support
computer vision
a field of artificial intelligence that enables computers to interpret and
analyze visual information from the real world, such as images and videos
robotics
the field of AI that focuses on designing, constructing, and operating
robots
statistical analysis
, a technique employed in AI that involves collecting, organizing,
examining, and interpreting data to identify patterns and make
predictions
AI tools
software programs designed to assist users in performing AI-related tasks
This is an example of Few-Shot Prompting
Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
structured data
data that is organized in a well-defined format and is typically stored in
databases or spreadsheets
unstructured data
includes text documents, images, videos, audio recordings, social media
posts, and other types of data that do not fit neatly into a structured
format
byte
a unit of digital information
gigabyte (GB)
a unit of digital information equal to approximately one billion bytes
terabyte (TB)
a unit of digital information equal to approximately one trillion bytes
hallucinations
an incorrect, misleading, nonsensical, or entirely fabricated output
generated by an AI model
adversarial attack
