Example Curriculum
Section 0: Introduction
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Section 1: Introduction to Prompt Engineering
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- What is Prompt Engineering? (6:24)
- Why is Prompt Engineering Even a Thing? (8:31)
- Breaking GPT (4:02)
- Applied Prompt Engineering (4:24)
- Applied Prompt Engineering with NASA (9:29)
- Why is Prompt Engineering Important to You? (4:06)
- The Latest: Am I Wrong?
- Homework: AlphaGo
- Let's Have Some Fun (+ More Resources)
Section 2: Choose Your LLM
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ChatGPT Setup
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Claude Setup
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Open Source Option: Llama Setup
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Section 3: Guided Project - Build Your First Game (Snake Game)
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- Project Introduction (2:13)
- Setting Up Your Replit Account (4:44)
- Important Point #1 - Fundamental Truths About LLMs (2:58)
- Important Point #2 - Models are Non-Deterministic (4:03)
- The First Try (4:41)
- Building Our Snake Game - Part 1 (6:12)
- Building Our Snake Game - Part 2 (5:49)
- Exercise: Make It Prettier!
- Unlimited Updates
Section 4: How LLMs Work
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- Introduction to LLMs (5:44)
- Tokens (5:17)
- Word Guessing Machines? (5:50)
- Thinking Like LLMs - Roll a Dice (6:56)
- Inside LLMs (22:13)
- The Transformer Model (7:38)
- GPT Meaning
- Exercise: Visualize the LLM Architecture (3:56)
- The Training Process (9:57)
- Base Model vs. Assistant Model (7:06)
- Thinking Like LLMs - The Reversal Curse (5:14)
- Exercise: The Reversal Curse
- Artificial General Intelligence (AGI) (5:28)
- Exercise: Use ChatGPT to Read the Research (4:48)
- The World of LLMs (6:05)
- Implement a New Life System
Section 5: Challenge - Build Your Second Game (Tic Tac Toe with AI opponent)
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Section 6: Our Prompting Framework
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Section 7: Prompting Fundamentals - The Setup
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- The Setup (1:01)
- The System Message - Part 1 (6:07)
- The System Message - Part 2 (5:43)
- Exercise: Strengthen Your System Message (6:42)
- Claude 3's System Message
- Context - What it Is (5:17)
- Context - The Context Window (9:21)
- Context - Lost in the Middle (11:26)
- The Latest: Gemini 1.5's Context Window
- Personas and Roles (8:42)
- Personas - Tone, Style and Voice (11:49)
- Exercise: Talk To Your Hero
- Exercise: Write a Movie Scene
- Custom Instructions (11:14)
- The System Message for Custom Instructions
- Thinking Like LLMs - Can GPT Keep a Secret? (4:45)
- Exercise: Get ChatGPT to Spill the Tea - Part 1 (1:44)
- Exercise: Get ChatGPT to Spill the Tea - Part 2 (1:42)
- Exercise: Get ChatGPT to Spill the Tea - Part 3 (4:24)
- Exercise: Test Techniques for Securing Secrets
- Exercise: Stump Me!
- Case Study: Moderna's Use of ChatGPT
- Course Check-In
Section 8: Prompting Fundamentals - The Instructions
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- The User Message (2:09)
- Be Clear and Specific (3:52)
- Delimiters (5:15)
- Exercise: Identify Delimiters (3:25)
- X-Y Problem (6:10)
- Exercise: Identify X
- Solution: Identify X
- In-Context Training (1:01)
- Zero Shot Prompting (1:47)
- One Shot and Few Shot Prompting (9:48)
- Language Models Are Few-Shot Learners (3:48)
- How Many Examples? (2:23)
- Thinking Like LLMs - But Wait... (5:36)
- Chain-of-Thought Prompting - Part 1 (5:24)
- Chain-of-Thought Prompting - Part 2 (5:45)
- Zero Shot CoT (9:29)
- Exercise: Imposter Syndrome (2:55)
Section 9: Guided Project - Create Your Own Career Coach
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Section 10: Prompting Fundamentals - The Output
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Section 11: LLM Hyperparameters & The OpenAI Playground
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Section 12: Guided Project - Prompting with Autonomous Agents (AutoGPT)
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- Project Introduction
- A Quick Note
- Setup Instructions
- Setup Demo: Getting Your API Key (2:23)
- Setup Demo: Downloading AutoGPT (1:03)
- Setup Demo: Installing Docker (3:26)
- Launching Your Autonomous Agent - Part 1 (3:25)
- Launching Your Autonomous Agent - Part 2 (1:21)
- It's Aliiiiiive! Running Your Autonomous Agent (4:51)
- Task 1: Hello World - Your First Website (16:17)
- Task 2: Python Program - Palindrome Checker (8:40)
- Task 3: Initialize Your Own Task
Section 13: Open Source Models
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- What Are Open Source LLMs and Why Are They Important? (6:50)
- Chatbot Arena Leaderboard (7:52)
- Battle of the Intelligence Tests (14:38)
- Exercise: Test The Models With Your Specific Use-Case
- Exercise: Create Your Own Test Prompt (Totem) (1:35)
- My Totem Prompt
- The Latest - The Best Open Source Model
- Introduction to LMStudio (2:37)
- Setting Up Your Own Model - Part 1 (2:51)
- Setting Up Your Own Model - Part 2 (9:38)
- Exercise: Explore the Guardrails
Section 14: Advanced Prompting Techniques
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- Introduction (1:06)
- Auto-Priming (10:50)
- Chain of Density Prompting (18:16)
- Prompt Variables (7:13)
- Prompt Chaining (8:38)
- Prompt Chaining - Programmatic Visualization (17:40)
- Exercise: Prompt Chaining - Customer Support (22:33)
- Exercise: Create Your Own Prompt Chain!
- Thinking Like LLMs - Dark Magic (9:57)
- Exercise: Use Your Magic Powers
- XML Tags - There's More Than Meets The Eye! (9:17)
- Emotional Stimuli - Part 1 (18:36)
- Emotional Stimuli - Part 2 (4:42)
- Emotional Stimuli - Part 3 (But Why?) (7:17)
- Self-Consistency (13:44)
- Exercise: Implement the Self-Consistency Technique
- ReAct Prompting (21:34)
- ReAct + CoT-SC (16:47)
- Applied Prompt Engineering with CRISPR - Part 1 (13:40)
- Applied Prompt Engineering with CRISPR - Part 2 (14:52)
- Tree of Thoughts - Part 1 (14:56)
- Tree of Thoughts - Part 2 (4:56)
- Tree of Thoughts - Part 3 (ToT via Code) (11:33)
- Tree of Thoughts - Part 4 (ToT via Chaining) (22:11)
- Tree of Thoughts - Part 5 ("Zero Shot" ToT) (12:26)
Section 15: Challenge - Build Your Third Game (Flappy Bird)
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Section 16: Prompt Testing and Model Benchmarks
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- Introduction to Prompt Testing (8:32)
- The Importance of Prompt Testing (4:32)
- Thinking Like LLMs - Schrodinger's Prompt (19:17)
- Building a Prompt Test (16:49)
- The Golden Answer (7:00)
- Model Benchmarks (11:29)
- Deep Dive: MMLU Benchmark (14:19)
- Prompt Tests vs. Model Benchmarks? (4:31)
- The Latest: MMLU Pro (18:10)
- Exercise: Create Your Own Mini-Benchmark (Totem Benchmark)!
- Evaluating Results - Human Judge (7:03)
- Evaluating Results - Code Judge (11:23)
- Evaluating Results - AI Judge (22:06)
- Deep Dive: LLMs as a Judge - Biases (22:11)
- Deep Dive: LLMs as a Judge - Prompts (13:01)
- LLM Judge Leaderboard
- Thinking Like LLMs - Ex Post Facto Reasoning (11:46)
Section 17: Applied Prompt Engineering - Developing Prompt Tests & Evaluations with PromptFoo
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- Here. We. Go! (6:01)
- Introduction to PromptFoo (6:10)
- Same As The Pros!
- Our Prompt Testing Framework (4:45)
- Warning!
- Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Setup (23:09)
- Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Results (10:20)
- Housekeeping Matters
- Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Setup (11:40)
- Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Results (7:38)
- Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Setup (25:36)
- Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Results (8:21)
- Optional Exercise: Practice Converting Another MMLU Dataset
- Exercise: Explore Metrics (Assertions) in the PromptFoo Documentation
- Exercise: Use Your Mini-Benchmark (Totem Benchmark)!
- Our 4th Prompt Test (Adding Multiple Models) - The Setup (25:58)
- Our 4th Prompt Test (Adding Multiple Models) - The Results (13:11)
- Our 5th Prompt Test (Adding System Messages) - The Setup (24:31)
- Our 5th Prompt Test (Adding System Messages) - The Results (12:22)
- Do You Realize What Just Happened? (4:25)
Section 18: Challenge - Become an AI Researcher! (Develop Your Own Prompting Technique)
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Section 19: AI Research and the Quest for Artificial General Intelligence
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- Introduction - Through The Looking Glass... (8:40)
- Applied Prompt Engineering with The Turing Test (7:33)
- Homework: Ex Machina
- Mechanistic Interpretability - Part 1 (13:24)
- Mechanistic Interpretability - Part 2 (20:59)
- Scaling Laws - Model Size (12:55)
- Scaling Laws - Dataset Size (8:04)
- Scaling Laws - Training Compute (11:49)
- Exercise: Current AI Trends
- Homework: Situational Awareness - The Decade Ahead
Where To Go From Here?
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