AI and Language Models

What is the role of AI in chatbots?

• AI is used to create physical robots for chatbots

• AI enables chatbots to understand and respond to human language

• AI is used to store data for chatbots

• AI is not involved in chatbots

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DOK Level 1: Recall

What is a Large Language Model (LLM)?

• A small-scale language processing tool

• A type of AI model designed to understand and generate human language

• A database management system

• A hardware component for language processing

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DOK Level 1: Recall

Which of the following is a key step in the training process of Large Language Models?

• Installing hardware components

• Feeding the model large datasets of text

• Writing code in assembly language

• Designing physical robots

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DOK Level 1: Recall

Which of the following is an application of Large Language Models?

• Weather forecasting

• Text generation and completion

• Image processing

• Circuit design

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DOK Level 1: Recall

What is a neural network?

• A type of database

• A computing system inspired by the human brain's network of neurons

• A hardware component for data storage

• A programming language

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DOK Level 1: Recall

Explain how AI enhances the functionality of chatbots.

• AI allows chatbots to perform complex calculations

• AI enables chatbots to understand context and provide relevant responses

• AI helps chatbots to store large amounts of data

• AI is used to design the user interface of chatbots

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DOK Level 2: Skill/Concept

Describe the importance of training data in the development of Large Language Models.

• Training data is used to test the hardware of the model

• Training data helps the model learn patterns and improve its language understanding

• Training data is irrelevant to the model's performance

• Training data is used to design the physical structure of the model

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DOK Level 2: Skill/Concept

How do Large Language Models differ from traditional rule-based language processing systems?

• LLMs rely on predefined rules, while traditional systems use machine learning

• LLMs use machine learning to understand language, while traditional systems rely on predefined rules

• LLMs are hardware-based, while traditional systems are software-based

• LLMs are used for image processing, while traditional systems are used for text processing

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DOK Level 2: Skill/Concept

Identify a real-world application where Large Language Models are used.

• Autonomous driving

• Language translation services

• Medical imaging

• Financial auditing

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DOK Level 2: Skill/Concept

What is the primary goal of training a Large Language Model?

• To create a physical robot

• To enable the model to understand and generate human-like text

• To design a new programming language

• To develop a new hardware component

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DOK Level 1: Recall