WGU - PRACTICAL APPLICATIONS OF PROMPT ( THE
SECTION 1 STUDY TERMS FOR WGU - PRACTICAL
APPLICATIONS OF PROMPT) D685 WITH COMPLETE
SOLUTION
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
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.
Supervised learning Answer - a machine learning technique where a model is
trained on labeled data, such as images with identified objects or text with
labeled entities.
SECTION 1 STUDY TERMS FOR WGU - PRACTICAL
APPLICATIONS OF PROMPT) D685 WITH COMPLETE
SOLUTION
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
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.
Supervised learning Answer - a machine learning technique where a model is
trained on labeled data, such as images with identified objects or text with
labeled entities.
