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Introduction to Large Language Models

Chapter 1: Understanding Large Language Models

What is Artificial Intelligence? A Brief Overview

Introducing Natural Language Processing (NLP)

Defining Large Language Models (LLMs)

How LLMs Learn from Text Data

Examples of Tasks LLMs Can Perform

Common Misconceptions about LLMs

Quiz for Chapter 1

Chapter 2: The Mechanics of LLMs (Simplified)

Representing Words: Tokens and Embeddings

Predicting the Next Word: The Core Idea

The Role of Training Data Size

Understanding Model Parameters

Introduction to Transformer Architecture (High-Level)

How Context Influences Generation

Quiz for Chapter 2

Chapter 3: Communicating with LLMs: Prompts

What is a Prompt?

Basic Prompting Techniques

Providing Instructions Clearly

Giving Examples (Few-Shot Prompting)

Controlling Output Length and Format

Common Prompting Challenges

Practice: Crafting Your First Prompts

Quiz for Chapter 3

Chapter 4: A Look at Different LLMs

Overview of Foundational Models

General Purpose vs. Specialized Models

Open vs. Closed Models: What's the Difference?

Understanding Model Size and Capabilities

Accessing Models: APIs and Interfaces

Quiz for Chapter 4

Chapter 5: Using Pre-trained LLMs

What are Pre-trained Models?

Finding and Choosing an LLM Service

Interacting via Web Interfaces

Introduction to Using LLM APIs

Sending Your First API Request

Interpreting LLM Responses

Hands-on Practical: Simple Text Generation Task

Quiz for Chapter 5

Quiz
Beta

Chapter: Understanding Large Language Models

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 12 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

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