MIS 375 Exam 2 UPDATED ACTUAL Questions And Correct Answers
C
Terms in this set (49)
What are the main forms of AI / ML? What are the Decision Tree (Simple Decisions)
technologies that are used for each? What purpose do
they serve? Decision Tree (Random Forest/Machine Learning)•
LLM/Generative AI (Knowledge Sifting - Public/Private, Text Generation,
Language Translation, Code Generation, Audio Interaction, Image Interpretation),
can use Natural Language Processing
Algorithmic AI (Problem Solving, Autonomous Decision Making, Intelligent
Monitoring, Probability Based Actions, Collaborative Filtering)
EX: Bayesian Networks, Time Series Analysis
What are the three types of neural databases? Textual, Visual, Audio
Audio Database trained with every spoken language, regional accents, relation of words - not just
hearing it but also noting the differences + employment of predictive/ suggestions
used for tasks like speech recognition and audio analysis
Training involves supervised learning with labeled audio data
Ex - hey google! hey alexa! hey siri!, 1-800 phone lines use of AI
Textual Database has every language in in, grammar, and translations/relationships between
languages and between words
trained using unsupervised pre-training and fine-tuning on specific tasks
(emphasis on the fact that it takes many years to fully develop such a database,
the companies that have textual neural databases are proprietary - facebook,
apple, google)
Ex - Chatgpt & Grammarly
Visual Database used for tasks like image recognition and computer vision
trained by collecting data - for instance google analyzes everything that comes
through it, the login site when you click for objects also help train visual databases
(supervised learning with labeled audio data), potential for predictive picture
expansion with AI
Ex - Google, Meta
, Why would a private data source be important as That main reason to opt for a private data source instead of a public one for a
opposed to a public data source as a foundation for a LLM would be that organizations could create AI models that are highly
generative AI large language model? customized to their unique needs. So they could train an AI model based on
content that is more relevant and specific to their goals/ requirements and the
organization's specific domain and terminology. They would also have more
control over the data and the model in order to enable greater security measures.
What is prompting? providing a specific input or instruction to an AI model to generate a desired
output or response
the prompt is a text-based or verbal query that a human user provides to the AI
model, and it serves as the starting point for the model to generate a response or
complete a task
Common Prompts Used for Prompting Simple questions (what is... explain. )
Lists (generate a list for ... )
Long-form written pieces (write a tweet/essay/paragraph)
Complex problems (show mathematical equations that lead to)
Feedback (critique this paragraph/essay)
Modify (translate/paraphrase/lengthen this. ... )
Instructional guides (how do I..../ dinner ideas with these ingredients. ... )
Write and debug code
Conversation and advice
What are the four main divisions of Disney? How could AI 1. Media Networks (ABC, Disney Channel, ESPN)
be used for each? AI Use - More important for ESPN but video analysis and tagging to create a
more engaging live sports viewing experience and enhance replays
2. Parks, Experiences, and Consumer Products
AI Use - Magic Band: you can make purchases through it/ have a gps tracker that
could improve park flow
3. Studio Entertainment (Walt Disney Studios, Marvel Studios, Pixar, etc.)
AI Use - Use predictive AI to help artists when working on animated films and
quicken some of the sketching process
4. Direct to Consumer + International (Disney+, ESPN+, Hulu, etc.)
AI Use - Better translation/captioning capabilities, Automated Speech
Recognition (ASR)
How is Disney experimenting with sentiment analysis AI? AI to understand real time reactions when watching shows (live or cinema): AI
coupled to a camera, a night vision camera that looks at the audience and will do
an analysis and interpret audience facial expressions to get real time feedback on
how people are reacting to shows - still in research faze, but the hope is to
implement this in theme parks
C
Terms in this set (49)
What are the main forms of AI / ML? What are the Decision Tree (Simple Decisions)
technologies that are used for each? What purpose do
they serve? Decision Tree (Random Forest/Machine Learning)•
LLM/Generative AI (Knowledge Sifting - Public/Private, Text Generation,
Language Translation, Code Generation, Audio Interaction, Image Interpretation),
can use Natural Language Processing
Algorithmic AI (Problem Solving, Autonomous Decision Making, Intelligent
Monitoring, Probability Based Actions, Collaborative Filtering)
EX: Bayesian Networks, Time Series Analysis
What are the three types of neural databases? Textual, Visual, Audio
Audio Database trained with every spoken language, regional accents, relation of words - not just
hearing it but also noting the differences + employment of predictive/ suggestions
used for tasks like speech recognition and audio analysis
Training involves supervised learning with labeled audio data
Ex - hey google! hey alexa! hey siri!, 1-800 phone lines use of AI
Textual Database has every language in in, grammar, and translations/relationships between
languages and between words
trained using unsupervised pre-training and fine-tuning on specific tasks
(emphasis on the fact that it takes many years to fully develop such a database,
the companies that have textual neural databases are proprietary - facebook,
apple, google)
Ex - Chatgpt & Grammarly
Visual Database used for tasks like image recognition and computer vision
trained by collecting data - for instance google analyzes everything that comes
through it, the login site when you click for objects also help train visual databases
(supervised learning with labeled audio data), potential for predictive picture
expansion with AI
Ex - Google, Meta
, Why would a private data source be important as That main reason to opt for a private data source instead of a public one for a
opposed to a public data source as a foundation for a LLM would be that organizations could create AI models that are highly
generative AI large language model? customized to their unique needs. So they could train an AI model based on
content that is more relevant and specific to their goals/ requirements and the
organization's specific domain and terminology. They would also have more
control over the data and the model in order to enable greater security measures.
What is prompting? providing a specific input or instruction to an AI model to generate a desired
output or response
the prompt is a text-based or verbal query that a human user provides to the AI
model, and it serves as the starting point for the model to generate a response or
complete a task
Common Prompts Used for Prompting Simple questions (what is... explain. )
Lists (generate a list for ... )
Long-form written pieces (write a tweet/essay/paragraph)
Complex problems (show mathematical equations that lead to)
Feedback (critique this paragraph/essay)
Modify (translate/paraphrase/lengthen this. ... )
Instructional guides (how do I..../ dinner ideas with these ingredients. ... )
Write and debug code
Conversation and advice
What are the four main divisions of Disney? How could AI 1. Media Networks (ABC, Disney Channel, ESPN)
be used for each? AI Use - More important for ESPN but video analysis and tagging to create a
more engaging live sports viewing experience and enhance replays
2. Parks, Experiences, and Consumer Products
AI Use - Magic Band: you can make purchases through it/ have a gps tracker that
could improve park flow
3. Studio Entertainment (Walt Disney Studios, Marvel Studios, Pixar, etc.)
AI Use - Use predictive AI to help artists when working on animated films and
quicken some of the sketching process
4. Direct to Consumer + International (Disney+, ESPN+, Hulu, etc.)
AI Use - Better translation/captioning capabilities, Automated Speech
Recognition (ASR)
How is Disney experimenting with sentiment analysis AI? AI to understand real time reactions when watching shows (live or cinema): AI
coupled to a camera, a night vision camera that looks at the audience and will do
an analysis and interpret audience facial expressions to get real time feedback on
how people are reacting to shows - still in research faze, but the hope is to
implement this in theme parks
