RAG Model

RAG Model

University

7 Qs

quiz-placeholder

Similar activities

Database Life Cycle

Database Life Cycle

University

10 Qs

Digital Fluency 6

Digital Fluency 6

University

10 Qs

Fashion Model

Fashion Model

University

10 Qs

bạn biết gì về cờ vua

bạn biết gì về cờ vua

1st Grade - Professional Development

12 Qs

Post-test #1

Post-test #1

University

10 Qs

V-engine quiz 2

V-engine quiz 2

University - Professional Development

10 Qs

Unsc halo

Unsc halo

1st Grade - Professional Development

10 Qs

Lancement cours FOR-2015

Lancement cours FOR-2015

University

7 Qs

RAG Model

RAG Model

Assessment

Quiz

Specialty

University

Easy

Created by

paula o.n.

Used 2+ times

FREE Resource

7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Generative AI?

An AI system that only analyzes existing data without producing new content.

An AI system that creates new content such as text, images, and music based on learned patterns.

A rule-based AI system that requires explicit programming for every task.

An AI system exclusively designed for analyzing numerical data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between a RAG model and an LLM?

RAG models integrate external knowledge retrieval with language generation, while LLMs rely only on pre-trained knowledge.

RAG models are smaller and less efficient than LLMs.

LLMs require external databases to function, while RAG models do not.

RAG models are designed only for text summarization tasks.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a type of chunking?

Fixed-Size Chunking.

  • Semantic Chunking.

Recursive Chunking.

Dynamic Vector Chunking.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given the text divided as follows, what type of chunking is used?

Chunk 1: "Cats are popular pets."

Chunk 2: "Dogs are loyal companions."

Chunk 3: "Birds can make excellent pets too."

Fixed-Size Chunking

Semantic Chunking

Recursive Chunking

Randomized Chunking

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which pair of words is likely to have the least cosine similarity in their embeddings?

  • Artificial Intelligence and Machine Learning.

Cat and Dog.

Artificial Intelligence and Swimming.

Mathematics and Calculus.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of database is commonly used in RAG models?

Relational Database.

Vector Database.

  • Graph Database.

Time-Series Database.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of a RAG model?

To generate outputs solely based on its training data.

To retrieve relevant information from external sources and generate context-aware responses.

To classify and tag data points based on pre-defined categories.

To enhance computational efficiency in multi-modal data processing.