WGU D685 PRACTICAL APPLICATIONS OF PROMPT COPY
2026/2027 || PROMPT ENGINEERING & AI APPLICATIONS
REVIEW || VERIFIED CONTENT || HIGH-YIELD STUDY
GUIDE || COMPLETE COURSE SUPPORT || 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
2026/2027 || PROMPT ENGINEERING & AI APPLICATIONS
REVIEW || VERIFIED CONTENT || HIGH-YIELD STUDY
GUIDE || COMPLETE COURSE SUPPORT || 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
