GETTING STARTED Flashcards
(22 cards)
What is generative AI?
Generative AI is a type of artificial intelligence that can create new content based on the data it has been trained on.
What can GEN AI create?
- Text
- Images
- Videos
- Sounds
- Code
Fill in the blank: Generative AI models often use __________ to learn patterns from large datasets.
MASCHINE LEARNING
List some popular Generative AI:
- ChatGPT
- Gemini - Google, for text
- Microsoft Copilot
- GitHub Copilot
- DALL-E - images
- Midjourney- Images
- Stable Diffusion (by Stability AI) - Images
- Claude - ChatGPT competitor
Also integrated in Office, Photoshop, …
The primary mechanism through which generative AI generates new content is ________________
and _____________________.
PATTERN LEARNING
PROBABILISTIC PREDICTION
By learning patterns from large datasets and then using probability to generate new, similar outputs. It predicts the next word, image pixel, or data point based on what it has learned, ensuring the result is coherent and realistic.
A ________________________ is an AI system that learns patterns from data to make predictions or decisions without being explicitly programmed.
MACHINE LEARNING MODEL
Generative AI uses MASCHINE LEARNING?
T/F
TRUE
What is LLM?5
LARGE LANGUAGE MODEL
Text-based AI: means it was trained on a very large amount of text.
Do Gen AI store all data they are trained on?
NO
Is GEN AI like a database?
NO.
Gen AI stores the results of the analysis, not the content.
Gen AI are amazing at matching patterns and making new combinations?
TRUE
There were stories about attorneys using Gen AI to build their cases, and Gen AI referenced the cases that never happened.
TRUE
Gen AI makes new content by predicting the most likely sequence of words based on his training. True or False?
TRUE
When the AI model creates inaccurate and irrelevant results, often very convincing, it is called ______?
HALLUCINATION
What does “probabilistic” mean?
This prediction is probabilistic: it doesn’t just copy, but creates new combinations based on what it learned, leading to original content.
What are GANs and Transformer models?
Examples of generative AI models.
___________weigh each word in a sentence regardlessly of its position.
TRANSFORMER
The end result of training GEN AI is called ____________.
MODEL
Generative AI
LEARNS BY EXAMPLE?
T/F
TRUE
Generative IA operates in 2 types of machine learning:
SUPERVISED
UNSUPERVISED
In SUPERVISED learning, models are trained on __________________
LABELLED DATASETS
_____________________ allows model to create content not bound by predefined labels, enabling more innovative and adaptive application
UNSUPERVISED LEARNING
