MIS 375 EXAM 2 QUESTIONS AND ANSWERS
What are the main forms of AI / ML? What are the technologies that are used for each?
What purpose do they serve? - Answer -Decision Tree (Simple Decisions)
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? - Answer -Textual, Visual, Audio
Audio Database - Answer -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 - Answer -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 - Answer -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 opposed to a public data source as a
foundation for a generative AI large language model? - Answer -That main reason to
opt for a private data source instead of a public one for a LLM would be that
organizations could create AI models that are highly 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? - Answer -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 - Answer -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 be used for each? - Answer -
1. Media Networks (ABC, Disney Channel, ESPN)
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
What are the main forms of AI / ML? What are the technologies that are used for each?
What purpose do they serve? - Answer -Decision Tree (Simple Decisions)
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? - Answer -Textual, Visual, Audio
Audio Database - Answer -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 - Answer -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 - Answer -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 opposed to a public data source as a
foundation for a generative AI large language model? - Answer -That main reason to
opt for a private data source instead of a public one for a LLM would be that
organizations could create AI models that are highly 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? - Answer -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 - Answer -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 be used for each? - Answer -
1. Media Networks (ABC, Disney Channel, ESPN)
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
