technology flashcards ( AI )

Question 1

What is AI and what does it stand for

Answer 1

artificial intelligence is a type of technology that helps computers think and learn like humans.

Question 2

Name 3 things AI is used for

Answer 2

voice assistants ( like Siri )
self driving cars
helps doctors find diseases

Question 3

How does AI work

Answer 3

by recognizing patterns, making decisions, and creating new things

Question 4

What are 2 challenges AI brigs

Answer 4

privacy concerns and job loss

Question 5

Why is it important to tell the difference between AI generated images and real images

Answer 5

because AI can spread false or misleading information, leading to scams and can harm reputations

Question 6

What is a deepfake

Answer 6

a type of AI- generated media that uses deep learning to create realistic but fake images, videos, or audios of real people by swapping faces, changing voices, or altering movements

Question 7

What is the difference between AI- generated media and a deepfake

Answer 7

AI- generated media created new content, while deepfake creates fake nut realistic images, videos, or audios of real people

Question 8

Name 3 risks of generated content

Answer 8

create realistic images or videos that are untrue
ruins reputations
scams

Question 9

What are some indicators to look for in AI-generated images

Answer 9

check if lighting or shadows are in the right places
look closely at hair and hands for any unusual things
look for odd things in the image that shoudnt be there
check if earnings are the same in both sides
look for odd reflections

Question 10

What is generative AI

Answer 10

a type of artificial intelligence that can create new content such as text, images, music, and videos by learning from large amounts of data

Question 11

Can you name 2 examples of generative AI tools

Answer 11

chatGPT and DALL.E.

Question 12

What are some concerns with generative AI

Answer 12

misinformation and copyright issues

Question 13

What is the first step in training generative AI model

Answer 13

collecting training data

Question 14

What does training data for a generative AI model include

Answer 14

it includes text, images, or other forms of information

Question 15

How is the training data processed in a generative AI model

Answer 15

using a transformer model designed to Handel language and patterns

Question 16

What does the transformer model do in AI training

Answer 16

it breaks down raw text into tokens and identifies relationships to understand context and meaning

Question 17

How does the AI model improve over time

Answer 17

by receiving feedback and updating its parameters

Question 18

What allows AI to generate coherent responses and predict the next words in a sentence

Answer 18

its ability to recognize word relationships and context

Question 19

Q: What is Machine Learning?

Answer 19

Machine Learning is the ability for computers to learn from experience or data without human instructions.

Question 20

What is Deep Learning?

Answer 20

Deep Learning uses artificial neural networks, such as transformers, to mimic the human brain and connect complex information.

Question 21

What does GenAI stand for?

Answer 21

GenAI stands for Generative Artificial Intelligence.

Question 22

What types of content can GenAI create?

Answer 22

GenAI can create text, audio, images, videos, and code.

Question 23

What is a neural network?

Answer 23

A neural network connects ideas to related ideas, inspired by how the human brain works.

Question 24

What is the role of a transformer in AI training?

Answer 24

A transformer transforms text into a format AI can understand.

Question 25

What is the first step in training a GenAI chatbot?

Answer 25

The first step is using text from the internet as training data.

Question 26

What happens after the model generates responses during training?

Answer 26

Humans check and score the responses to improve the model's accuracy.

Question 27

What does the AI learn during training?

Answer 27

AI learns the most likely next word in any sentence and starts to put these together.

Question 28

When is the model released during AI training?

Answer 28

The model is released after the training loop is complete.

Question 29

What is the purpose of scoring responses during training?

Answer 29

Scoring responses ensures the model generates accurate and relevant outputs.

Question 30

What does 'pre-trained' mean in the context of GenAI?

Answer 30

Pre-trained means that AI is trained on existing data before it can generate new content.

Question 31

What is the main challenge in training GenAI chatbots?

Answer 31

The main challenge is ensuring the model generates accurate and relevant responses.

Question 32

What is the final step in the training loop for GenAI?

Answer 32

The final step is releasing the model, which remains unchanged until updated.

Question 33

What are the steps in the training process to create and AI chatbot

Answer 33

collecting training data the transformer model learning patterns and creating the model human feedback and scoring the training loop ( continuous improvement ) model release