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
Providing Instructions Clearly
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- Prompt engineering, OpenAI, 2024 (OpenAI) - Official guide covering core principles and techniques for effective interaction with large language models, emphasizing clarity and structured instructions.
- Prompt Engineering for Large Language Models: A Comprehensive Survey, Weizhe Yuan, Shangqing Zhao, Shichao Wang, Yizhi Tang, Tao Chen, Qiang Li, Bo Li, Weicheng Ma, 2023 arXiv preprint arXiv:2309.11059 DOI: 10.48550/arXiv.2309.11059 - A comprehensive academic survey that introduces the fundamental concepts and various methods of prompt engineering, including the importance of clear prompt design.
- ChatGPT Prompt Engineering for Developers, Isa Fulford and Andrew Ng, 2023 (DeepLearning.AI) - A practical short course offering techniques for designing effective prompts, with a strong focus on clarity, specificity, and methods for obtaining structured output.
- Prompt engineering best practices, Google AI for Developers, 2024 (Google) - Google's guide providing practical advice and recommended practices for creating effective prompts with generative AI models.