LLM > Gen AI Basics > Flashcards

Gen AI Basics Flashcards

(62 cards)

Study These Flashcards
1
Q

What are disruptive technologies?

A

Innovations that fundamentally change the way industries, businesses, and consumers operate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What has each wave of disruptive technology built for GenAI?

A

The infrastructure, data, and computing power needed to enable today’s AI revolution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What disruptive technologies emerged in the 1990s?

A

Internet, Personal Computers, Mobile Phones, and Email

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What disruptive technologies emerged in the 2000s?

A

E-commerce (Amazon, eBay), Smartphones (iPhone), Social Media (Facebook, YouTube), and Cloud Computing (AWS, Google Cloud)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What disruptive technologies emerged in the 2010s?

A

AI & Machine Learning (Siri, Alexa), Big Data, Blockchain, IoT (Smart Devices), and GPUs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are the key disruptive technologies of the 2020s?

A

Generative AI (GPT, DALL·E), 5G Networks, Quantum Computing, and Metaverse & AR/VR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is Generative AI?

A

A class of AI models designed to generate new data (text, images, audio, video) based on patterns learned from existing data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How do generative models work?

A

They learn the underlying distribution of data and create outputs that resemble the training data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are discriminative AI models?

A

Models used to classify data into predefined categories or make decisions by learning the boundary between different classes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the difference between Generative and Discriminative AI?

A

Generative AI creates new data based on learned patterns, while Discriminative AI classifies existing data into categories

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How has GenAI shifted programming practices?

A

From a code-centric task to a more conceptual, problem-solving approach where developers focus on the ‘what’ rather than the ‘how’

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is code assistance with GenAI?

A

Tools can generate code snippets, suggest optimizations, auto-complete code, and help with debugging in real-time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are examples of AI code assistance tools?

A

GitHub Copilot, Tabnine, ChatGPT, Replit Ghostwriter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

How does GenAI help with documentation?

A

AI tools automatically generate documentation from codebases, ensuring up-to-date information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is natural language querying in databases?

A

Querying databases using natural language instead of SQL. Example: ‘Show me total sales for December’ generates the SQL query automatically

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How does GenAI help with database schema design?

A

GenAI tools can suggest database schema designs optimized for specific use cases

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What is predictive maintenance in databases?

A

AI-powered tools predict database bottlenecks or failures and recommend optimizations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What is the AI hierarchy?

A

AI → Machine Learning → Deep Learning → Generative AI → Large Language Models (LLMs)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is Machine Learning?

A

A subset of AI that enables machines to imitate human learning and improve through experience and data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What is Deep Learning?

A

A subset of Machine Learning that uses deep neural networks to simulate the brain’s complex decision-making power

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Where does Generative AI fit in the AI hierarchy?

A

Generative AI is a subset of Deep Learning focused on generating new data based on learned patterns

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

What are Large Language Models (LLMs)?

A

Models trained on immense amounts of data to understand and generate natural language and perform a wide range of tasks

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

What are the key subdomains of GenAI?

A

Natural Language Generation, Image Generation, Music and Audio Generation, Video Generation, 3D Model Generation, GANs, Reinforcement Learning with Generative Models, Text-to-Image Synthesis, Generative Drug Discovery, Personalization Systems, Data Augmentation, Interactive AI and Conversational Agents

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

What is Natural Language Generation (NLG)?

A

Creating human-like text from data or prompts, used in chatbots, content generation, translation, and summarization. Examples: GPT-3, GPT-4, BERT

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
What are the applications of NLG?
Text generation, text summarization, machine translation, chatbots, content creation
26
What is Image Generation in GenAI?
Generating realistic images from textual descriptions or other input data. Examples: DALL·E, Stable Diffusion, MidJourney
27
What is Text-to-Image generation?
Models that generate images from textual prompts like DALL·E, Stable Diffusion, MidJourney
28
What is style transfer?
Techniques that apply the artistic style of one image to the content of another. Examples: DeepArt, NeuralStyle
29
What is image super-resolution?
Enhancing the resolution of images while preserving details using GenAI
30
What is inpainting/outpainting?
Inpainting fills missing parts of an image, outpainting extends images beyond their original borders
31
What is Music and Audio Generation?
Generating music, sounds, and audio content. Examples: MuseNet, JukeBox for music; WaveNet, Tacotron for speech synthesis
32
What is speech synthesis?
Creating human-like speech from text using AI models
33
What is voice cloning?
Generating a new voice that mimics a specific person's voice
34
What is Video Generation and Manipulation?
Creating or modifying video content including new sequences, facial expressions, or movements. Examples: DeepFaceLab (deepfakes), RunwayML (text-to-video)
35
What are deepfakes?
Hyper-realistic videos where faces are swapped or manipulated using AI
36
What is text-to-video generation?
Generating short videos from textual descriptions
37
What is 3D Model Generation?
Generating 3D models for gaming, VR, and AR. Examples: DreamFusion for creating 3D objects from 2D images or text
38
What are applications of 3D model generation?
Gaming, virtual reality (VR), augmented reality (AR), architecture, product design
39
What are GANs (Generative Adversarial Networks)?
Neural networks where two networks (generator and discriminator) compete to improve the quality of generated data
40
How do GANs work?
Generator creates data, discriminator evaluates it; they compete to improve quality through adversarial training
41
What are examples of GANs?
StyleGAN and CycleGAN for image generation
42
What is data augmentation using GANs?
Generating synthetic data to supplement training datasets, especially for medical imaging or rare events
43
What is Reinforcement Learning with Generative Models?
Integrating generative models with RL to create agents that learn by generating solutions. Example: AlphaGo generating game strategies
44
What is generative design?
Using RL and generative models to create novel designs in engineering, architecture, or product design
45
What is Text-to-Image Synthesis?
Using natural language descriptions to generate realistic or abstract images. Examples: AttnGAN, CLIP+VQGAN
46
What is Generative Drug Discovery?
Using generative models to discover new molecules for drug design. Examples: DeepChem, Graph Neural Networks
47
How does GenAI help in drug discovery?
By generating molecular structures and predicting their biological activity
48
What are Personalization and Recommendation Systems in GenAI?
Using generative models to create personalized content or recommendations based on user behavior and preferences
49
What is Data Augmentation and Synthesis?
Creating synthetic data to augment datasets for rare or difficult-to-acquire examples, used for training ML models
50
What are applications of data augmentation?
Training autonomous vehicles, robotics, creating labeled datasets when real-world data is scarce or expensive
51
What are Interactive AI and Conversational Agents?
Intelligent agents capable of human-like conversations. Examples: ChatGPT, Google Assistant, Siri
52
What is image-to-image translation?
Transforming images from one domain to another using GenAI techniques
53
What is LLM jailbreaking?
Using well-written prompts to bypass safety measures in GPT models that are trained to avoid harmful responses
54
What are ethical concerns with GenAI?
Deepfakes for misinformation, LLM jailbreaking for harmful content, AI-generated art controversies, job displacement concerns
55
What is an example of deepfake misuse?
Creating fake videos of public figures like Kim Jong Un for spreading misinformation
56
What controversy surrounded AI-generated art?
Théâtre D'opéra Spatial, an AI-generated image, won a Digital Art competition causing debate about AI vs human creativity
57
What is AI slop?
Shoddy or unwanted AI content in social media, art, books, and search results - analogous to spam
58
What is model collapse?
Consistent decrease in lexical, syntactic, and semantic diversity when LLMs are trained on AI-generated content instead of human content
59
What causes model collapse?
Training LLMs on AI-generated content (slop) causes decrease in creativity and diversity of outputs
60
Can GenAI cause job losses?
Very likely in the long term, but not anytime soon
61
What is rapid prototyping with GenAI?
Developers can generate functional prototypes with minimal effort, accelerating the development cycle
62
What are key tools in the GenAI ecosystem?
LangChain (chaining APIs), Hugging Face (ML models), OpenAI Playground (API integration), GitHub Copilot (code assistance)
LLM
flashcards
Decks in class (1)
# Cards
Brainscape helps you reach your goals faster, through stronger study habits.
© 2026 Bold Learning Solutions. Terms and Conditions