WGU D685 PRACTICAL APPLICATIONS OF
PROMPT COMPLETE STUDY GUIDE, EXAM
PREP & PRACTICE QUESTIONS
| GRADED A+ | GUARANTEED SUCCESS
UPDATED QUESTIONS AND ANSWERS
100% VERIFIED EXAM PREP
[EXAM• STUDY GUIDE • SUMMARY • ASSIGNMENT]
A clean, organized resource designed for easy revision and reference.
QUICK • CLEAR • PROFESSIONAL
,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
PROMPT COMPLETE STUDY GUIDE, EXAM
PREP & PRACTICE QUESTIONS
| GRADED A+ | GUARANTEED SUCCESS
UPDATED QUESTIONS AND ANSWERS
100% VERIFIED EXAM PREP
[EXAM• STUDY GUIDE • SUMMARY • ASSIGNMENT]
A clean, organized resource designed for easy revision and reference.
QUICK • CLEAR • PROFESSIONAL
,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
