Artificial Intelligence

Question 1

What is generative AI?

Answer 1

Can create new, original content — such as text, images, videos, audio, music, computer code, 3D models, and more — in response to user inputs (usually called prompts)

Question 2

Is generative AI a type of machine learning?

Answer 2

Yes

Question 3

What is machine learning?

Answer 3

Enables computers and systems to learn from data, identify patterns, and make predictions or decisions without being explicitly programmed for every specific task

Question 4

What is supervised mschine learning?

Answer 4

The model is trained on labeled data (input + correct output). It learns to map inputs to outputs

Question 5

What is unsupervised machine learning?

Answer 5

No labels — the model finds hidden patterns or structure in the data on its own

Question 6

What is reinforcement learning?

Answer 6

The model learns by trial and error through interaction with an environment, receiving rewards or penalties for actions

Question 7

What is natural language processing?

Answer 7

Focuses on enabling computers and machines to understand, interpret, generate, and interact with human language in a meaningful way — whether that language is spoken (speech) or written (text)

Question 8

What is meant by computational linguistics in NLP?

Answer 8

Rule-based modeling of human language grammar, syntax, and semantics

Question 9

What is meant by machine learning and deep learning in NLP?

Answer 9

Statistical models that learn patterns from massive amounts of text/speech data

Question 10

What is meant by large language models?

Answer 10

A massive AI system that has been trained on enormous amounts of text (books, websites, articles, code, conversations, etc.) so it learns the patterns, grammar, facts, reasoning styles, and even some “common sense” present in language

Question 11

Are LLMs part of NLP?

Answer 11

Yes

Question 12

Text/Speech Understanding (NLP)

Answer 12

Sentiment analysis (detect if a review is positive/negative)

Named entity recognition (identify people, places, organizations in text)

Part-of-speech tagging, syntax parsing

Question 13

Generation (NLP)

Answer 13

Text generation (writing articles, emails, code, stories)

Chatbots and conversational AI (like me!)

Summarization, translation, paraphrasing

Question 14

Speech-related (NLP)

Answer 14

Speech recognition (turning voice to text, e.g., dictation, voice assistants)

Text-to-speech (synthetic voices)

Question 15

What is an ERP?

Answer 15

ERP in accounting stands for Enterprise Resource Planning. It refers to a type of integrated business management software system (or sometimes the broader concept) that organizations use to manage and automate core business processes across the entire company.

Question 16

Why does AI appeal to you?

Answer 16

AI is projected to add enormous value to the economy (trillions by 2030) automating grunt work, boosting efficiency in fields like healthcare and finance

It is the future - being experienced with AI alongside my MA knowledge allows me to develop a more broad and future-focused skillset

Real-world problems becoming mainstream - Predict health risks, using ML to learn from the past automate coding/debugging—making AI feel indispensable rather than gimmicky.

Question 17

How are accounting and AI becomnig more integrated?

Answer 17

Data science enables real-time anomaly detection, fraud identification, risk forecasting

AI adoption in finance teams roughly doubled from 2024 to 2025, with many organizations reaching 49–63% usage by late 2025

Question 18

What is predictive analysis?

Answer 18

An advanced form of data analysis that uses historical and current data, along with statistical algorithms, machine learning models, and sometimes artificial intelligence, to forecast future outcome

Question 19

What is tokenization?

Answer 19

Breaking text into manageable units (words, subwords via BPE/WordPiece)