WGU D685 - Practical Applications of Prompt
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1. The limitations of AI can be - fundamental limitations of AI
categorized into three main - practical limitations and challenges
areas: - societal concerns and implications.
2. Fundamental limitations of - dependence on training data
AI include: - limited common sense
- lack of emotional sense.
3. Practical limitations of AI in- - perpetuating bias
clude: - lack of ethics
- understanding nuances of language and humans.
4. Societal concerns on AI in- - data privacy
clude: - safety
- security concerns
5. artificial intelligence (AI) the study of creating machines and computer systems capable of
performing tasks that typically require human intelligence
6. narrow AI artificial intelligence that is designed and trained for a specific
task or narrow set of tasks
7. general AI a hypothetical future AI system that would possess human-level
intelligence
8. algorithms defined methods or processes employed to train models, gener-
ate predictions, and execute tasks using data
9. machine learning a branch of AI that enables computers to improve their perfor-
mance through experience without needing explicit program-
ming
10. AI model a computer program designed to make predictions or decisions
based on input data
, WGU D685 - Practical Applications of Prompt
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11. 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
12. unsupervised learning a type of machine learning where the model is trained on unla-
beled data without explicit guidance or supervision
13. 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
14. 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
15. deep learning a powerful subset of machine learning that uses artificial neural
networks to learn from large amounts of data
16. generative AI AI systems that can create new content
17. large language models a type of machine learning model that is trained on massive
(LLMs) amounts of text data to understand and generate human-like
language
18. natural language process- the field of AI concentrated on enabling computers to understand
ing (NLP) and engage with human language, mirroring the intricacies of
human communication
19. chatbots AI programs designed to engage in natural conversations with
people, providing information, answering questions, and even
offering emotional support
, WGU D685 - Practical Applications of Prompt
Study online at https://quizlet.com/_i58g8j
20. computer vision a field of artificial intelligence that enables computers to interpret
and analyze visual information from the real world, such as im-
ages and videos
21. robotics the field of AI that focuses on designing, constructing, and oper-
ating robots
22. statistical analysis a technique employed in AI that involves collecting, organizing,
examining, and interpreting data to identify patterns and make
predictions
23. AI tools software programs designed to assist users in performing AI-re-
lated tasks
24. This is an example of Match the example prompts with the technique:
Few-Shot Prompting "Write a dialogue between two friends planning a trip."
25. structured data data that is organized in a well-defined format and is typically
stored in databases or spreadsheets
26. 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
27. byte a unit of digital information
28. gigabyte (GB) a unit of digital information equal to approximately one billion
bytes
29. terabyte (TB) a unit of digital information equal to approximately one trillion
bytes
30. hallucinations an incorrect, misleading, nonsensical, or entirely fabricated out-
put generated by an AI model
, WGU D685 - Practical Applications of Prompt
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31. adversarial attack deliberate attempts to deceive or manipulate AI systems by intro-
ducing carefully crafted perturbations to the input data
32. AI drift the phenomenon where the performance of an AI model deteri-
orates over time as the underlying data distribution changes
33. generative adversarial net- a type of deep learning model that uses an adversarial training
works (GANs) process to create new data
34. prompt a user query, command, or input in an AI interface
35. interface the means by which users interact with and provide input to AI
models to generate desired outputs, such as text, images, or
other forms of content
36. specificity the degree to which prompts are tailored to the individual user's
needs, preferences, and current context
37. temperature a parameter in the LLM that influences the level of randomness
or creativity in generated outputs
38. false positive occurs when the model incorrectly generates outputs that are not
relevant or accurate to the input or task
39. true negative refers to instances where the model correctly identifies inputs or
conditions as not meeting certain criteria or expectations
40. structured query language a specialized programming language used for managing and
(SQL) manipulating relational databases, facilitating tasks such as data
retrieval, insertion, updating, and deletion, while also enabling
database administration and schema definition.
41. persona refers to a fictional character or user profile created to represent
a specific demographic, behavior pattern, or set of characteristics
Study online at https://quizlet.com/_i58g8j
1. The limitations of AI can be - fundamental limitations of AI
categorized into three main - practical limitations and challenges
areas: - societal concerns and implications.
2. Fundamental limitations of - dependence on training data
AI include: - limited common sense
- lack of emotional sense.
3. Practical limitations of AI in- - perpetuating bias
clude: - lack of ethics
- understanding nuances of language and humans.
4. Societal concerns on AI in- - data privacy
clude: - safety
- security concerns
5. artificial intelligence (AI) the study of creating machines and computer systems capable of
performing tasks that typically require human intelligence
6. narrow AI artificial intelligence that is designed and trained for a specific
task or narrow set of tasks
7. general AI a hypothetical future AI system that would possess human-level
intelligence
8. algorithms defined methods or processes employed to train models, gener-
ate predictions, and execute tasks using data
9. machine learning a branch of AI that enables computers to improve their perfor-
mance through experience without needing explicit program-
ming
10. AI model a computer program designed to make predictions or decisions
based on input data
, WGU D685 - Practical Applications of Prompt
Study online at https://quizlet.com/_i58g8j
11. 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
12. unsupervised learning a type of machine learning where the model is trained on unla-
beled data without explicit guidance or supervision
13. 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
14. 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
15. deep learning a powerful subset of machine learning that uses artificial neural
networks to learn from large amounts of data
16. generative AI AI systems that can create new content
17. large language models a type of machine learning model that is trained on massive
(LLMs) amounts of text data to understand and generate human-like
language
18. natural language process- the field of AI concentrated on enabling computers to understand
ing (NLP) and engage with human language, mirroring the intricacies of
human communication
19. chatbots AI programs designed to engage in natural conversations with
people, providing information, answering questions, and even
offering emotional support
, WGU D685 - Practical Applications of Prompt
Study online at https://quizlet.com/_i58g8j
20. computer vision a field of artificial intelligence that enables computers to interpret
and analyze visual information from the real world, such as im-
ages and videos
21. robotics the field of AI that focuses on designing, constructing, and oper-
ating robots
22. statistical analysis a technique employed in AI that involves collecting, organizing,
examining, and interpreting data to identify patterns and make
predictions
23. AI tools software programs designed to assist users in performing AI-re-
lated tasks
24. This is an example of Match the example prompts with the technique:
Few-Shot Prompting "Write a dialogue between two friends planning a trip."
25. structured data data that is organized in a well-defined format and is typically
stored in databases or spreadsheets
26. 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
27. byte a unit of digital information
28. gigabyte (GB) a unit of digital information equal to approximately one billion
bytes
29. terabyte (TB) a unit of digital information equal to approximately one trillion
bytes
30. hallucinations an incorrect, misleading, nonsensical, or entirely fabricated out-
put generated by an AI model
, WGU D685 - Practical Applications of Prompt
Study online at https://quizlet.com/_i58g8j
31. adversarial attack deliberate attempts to deceive or manipulate AI systems by intro-
ducing carefully crafted perturbations to the input data
32. AI drift the phenomenon where the performance of an AI model deteri-
orates over time as the underlying data distribution changes
33. generative adversarial net- a type of deep learning model that uses an adversarial training
works (GANs) process to create new data
34. prompt a user query, command, or input in an AI interface
35. interface the means by which users interact with and provide input to AI
models to generate desired outputs, such as text, images, or
other forms of content
36. specificity the degree to which prompts are tailored to the individual user's
needs, preferences, and current context
37. temperature a parameter in the LLM that influences the level of randomness
or creativity in generated outputs
38. false positive occurs when the model incorrectly generates outputs that are not
relevant or accurate to the input or task
39. true negative refers to instances where the model correctly identifies inputs or
conditions as not meeting certain criteria or expectations
40. structured query language a specialized programming language used for managing and
(SQL) manipulating relational databases, facilitating tasks such as data
retrieval, insertion, updating, and deletion, while also enabling
database administration and schema definition.
41. persona refers to a fictional character or user profile created to represent
a specific demographic, behavior pattern, or set of characteristics
