D685 PRACTICAL APPLICATIONS OF
PROMPT OA & PA EXAM WITH
COMPLETE REAL EXAM QUESTIONS
AND CORRECT VERIFIED ANSWERS/
ALREADY GRADED A+ (MOST RECENT!!)
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications. - ,,,answer,,,The limitations of AI
can be categorized into three main areas:
- dependence on training data
- limited common sense
- lack of emotional sense. - ,,,answer,,,Fundamental limitations of AI
include:
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans. - ,,,answer,,,Practical
limitations of AI include:
- data privacy
- safety
- security concerns - ,,,answer,,,Societal concerns on AI include:
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, ,,,answer,,,ing
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 - ,,,answer,,,deliberate attempts to deceive or
manipulate AI systems by introducing carefully crafted perturbations to
the input data
AI drift - ,,,answer,,,the phenomenon where the performance of an AI
model deteriorates over time as the underlying data distribution changes
generative adversarial networks (GANs) - ,,,answer,,,a type of deep
learning model that uses an adversarial training process to create new
data
prompt - ,,,answer,,,a user query, command, or input in an AI interface
interface - ,,,answer,,,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
specificity - ,,,answer,,,the degree to which prompts are tailored to the
individual user's needs, preferences, and current context
PROMPT OA & PA EXAM WITH
COMPLETE REAL EXAM QUESTIONS
AND CORRECT VERIFIED ANSWERS/
ALREADY GRADED A+ (MOST RECENT!!)
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications. - ,,,answer,,,The limitations of AI
can be categorized into three main areas:
- dependence on training data
- limited common sense
- lack of emotional sense. - ,,,answer,,,Fundamental limitations of AI
include:
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans. - ,,,answer,,,Practical
limitations of AI include:
- data privacy
- safety
- security concerns - ,,,answer,,,Societal concerns on AI include:
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, ,,,answer,,,ing
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 - ,,,answer,,,deliberate attempts to deceive or
manipulate AI systems by introducing carefully crafted perturbations to
the input data
AI drift - ,,,answer,,,the phenomenon where the performance of an AI
model deteriorates over time as the underlying data distribution changes
generative adversarial networks (GANs) - ,,,answer,,,a type of deep
learning model that uses an adversarial training process to create new
data
prompt - ,,,answer,,,a user query, command, or input in an AI interface
interface - ,,,answer,,,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
specificity - ,,,answer,,,the degree to which prompts are tailored to the
individual user's needs, preferences, and current context
