WGU D685 PRACTICAL APPLICATIONS OF
PROMPT PA AND OA COMPREHENSIVE STUDY
GUIDE WITH SOLUTIONS
◉ 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
◉ This is an example of Few-Shot Prompting
Answer: Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
◉ structured data
Answer: data that is organized in a well-defined format and is
typically stored in databases or spreadsheets
, ◉ unstructured data
Answer: 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
Answer: a unit of digital information
◉ gigabyte (GB)
Answer: a unit of digital information equal to approximately one
billion bytes
◉ terabyte (TB)
Answer: a unit of digital information equal to approximately one
trillion bytes
◉ hallucinations
Answer: an incorrect, misleading, nonsensical, or entirely fabricated
output generated by an AI model
◉ adversarial attack
PROMPT PA AND OA COMPREHENSIVE STUDY
GUIDE WITH SOLUTIONS
◉ 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
◉ This is an example of Few-Shot Prompting
Answer: Match the example prompts with the technique:
"Write a dialogue between two friends planning a trip."
◉ structured data
Answer: data that is organized in a well-defined format and is
typically stored in databases or spreadsheets
, ◉ unstructured data
Answer: 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
Answer: a unit of digital information
◉ gigabyte (GB)
Answer: a unit of digital information equal to approximately one
billion bytes
◉ terabyte (TB)
Answer: a unit of digital information equal to approximately one
trillion bytes
◉ hallucinations
Answer: an incorrect, misleading, nonsensical, or entirely fabricated
output generated by an AI model
◉ adversarial attack
