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Exploring Generative AI and LLMs

Authored by Praveen Loharkar

Engineering

12th Grade

Used 1+ times

Exploring Generative AI and LLMs
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does LLM stand for in the context of AI?

Large Learning Machine

Large Language Model

Limited Language Model

Linguistic Logic Model

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name one popular application of generative AI.

DALL-E

Bard

Midjourney

ChatGPT

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does generative AI differ from traditional AI?

Generative AI only processes data, while traditional AI generates new content.

Generative AI creates new content, while traditional AI analyzes existing data.

Generative AI is limited to text, whereas traditional AI can handle images and videos.

Generative AI requires more data than traditional AI to function effectively.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of a language model?

To store large amounts of data efficiently.

The primary function of a language model is to generate and understand human language.

To analyze the sentiment of a text.

To translate text between languages.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you give an example of a generative AI tool?

Adobe Photoshop

Google Docs

OpenAI's ChatGPT

Microsoft Word

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some ethical concerns associated with generative AI?

Ethical concerns include misinformation, copyright issues, bias, and job displacement.

Enhanced data privacy and security

Improved decision-making in healthcare

Increased creativity in art and music

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do LLMs learn from data?

LLMs only learn from structured data like spreadsheets.

LLMs learn from data by training on large datasets using neural networks to identify patterns and optimize predictions.

LLMs learn by memorizing all the data without any processing.

LLMs do not require any data to learn and can generate text randomly.

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