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Урок 1.
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Learn To Work With LLMs with Scott Kerr
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Урок 2.
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Course Introduction
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Урок 3.
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What is Prompt Engineering?
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Урок 4.
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Why is Prompt Engineering Even a Thing?
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Урок 5.
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Breaking GPT
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Урок 6.
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Applied Prompt Engineering
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Урок 7.
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Applied Prompt Engineering with NASA
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Урок 8.
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Why is Prompt Engineering Important to You?
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Урок 9.
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What I'm Using - Part 1
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Урок 10.
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What I'm Using - Part 2 (OpenAI Playground)
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Урок 11.
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Multi-Modality and Tools in LLMs
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Урок 12.
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Getting Started with ChatGPT
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Урок 13.
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The Basics of ChatGPT
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Урок 14.
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ChatGPT App
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Урок 15.
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Optional: ChatGPT Plus
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Урок 16.
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Getting Started with Claude
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Урок 17.
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Project Introduction
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Урок 18.
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Setting Up Your Replit Account
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Урок 19.
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Important Point #1 - Fundamental Truths About LLMs
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Урок 20.
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Important Point #2 - Models are Non-Deterministic
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Урок 21.
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The First Try
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Урок 22.
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Building Our Snake Game - Part 1
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Урок 23.
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Building Our Snake Game - Part 2
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Урок 24.
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Introduction to LLMs
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Урок 25.
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Tokens
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Урок 26.
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Word Guessing Machines?
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Урок 27.
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Thinking Like LLMs - Roll a Dice
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Урок 28.
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Inside LLMs
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Урок 29.
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The Transformer Model
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Урок 30.
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Exercise: Visualize the LLM Architecture
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Урок 31.
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The Training Process
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Урок 32.
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Base Model vs. Assistant Model
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Урок 33.
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Thinking Like LLMs - The Reversal Curse
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Урок 34.
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Artificial General Intelligence (AGI)
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Урок 35.
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Exercise: Use ChatGPT to Read the Research
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Урок 36.
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The World of LLMs
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Урок 37.
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Overview of Our Prompting Framework
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Урок 38.
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The Standard Prompt
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Урок 39.
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Exercise: Get Hyped to Learn!
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Урок 40.
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The Setup
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Урок 41.
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The System Message - Part 1
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Урок 42.
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The System Message - Part 2
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Урок 43.
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Exercise: Strengthen Your System Message
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Урок 44.
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Context - What it Is
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Урок 45.
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Context - The Context Window
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Урок 46.
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Context - Lost in the Middle
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Урок 47.
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Personas and Roles
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Урок 48.
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Personas - Tone, Style and Voice
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Урок 49.
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Custom Instructions
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Урок 50.
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Thinking Like LLMs - Can GPT Keep a Secret?
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Урок 51.
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Exercise: Get ChatGPT to Spill the Tea - Part 1
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Урок 52.
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Exercise: Get ChatGPT to Spill the Tea - Part 2
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Урок 53.
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Exercise: Get ChatGPT to Spill the Tea - Part 3
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Урок 54.
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The User Message
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Урок 55.
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Be Clear and Specific
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Урок 56.
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Delimiters
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Урок 57.
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Exercise: Identify Delimiters
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Урок 58.
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X-Y Problem
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Урок 59.
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In-Context Training
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Урок 60.
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Zero Shot Prompting
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Урок 61.
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One Shot and Few Shot Prompting
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Урок 62.
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Language Models Are Few-Shot Learners
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Урок 63.
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How Many Examples?
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Урок 64.
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Thinking Like LLMs - But Wait...
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Урок 65.
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Chain-of-Thought Prompting - Part 1
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Урок 66.
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Chain-of-Thought Prompting - Part 2
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Урок 67.
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Zero Shot CoT
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Урок 68.
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Exercise: Imposter Syndrome
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Урок 69.
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Career Coach Ideation
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Урок 70.
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The Setup - Persona
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Урок 71.
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The Setup - Context and Commands
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Урок 72.
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The Instructions - Modes
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Урок 73.
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The Instructions - Chain of Thought
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Урок 74.
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The Instructions - Gamify
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Урок 75.
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Meet Your Career Coach
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Урок 76.
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The Output
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Урок 77.
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Length
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Урок 78.
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Formats
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Урок 79.
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Exercise: Output an Excel File
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Урок 80.
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Exercise: Make a Flowchart
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Урок 81.
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Introduction to Guardrails and Jailbreaking
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Урок 82.
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Jailbreak! (The DAN Prompt)
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Урок 83.
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Many Shot Jailbreaking
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Урок 84.
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Prompt Injections - Part 1
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Урок 85.
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Prompt Injections - Part 2
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Урок 86.
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Thinking Like LLMs - Multi-Modal Injection
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Урок 87.
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Leaking - Part 1 (Prompt Leaking)
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Урок 88.
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Leaking - Part 2 (Data Leaking)
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Урок 89.
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Exposure
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Урок 90.
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Poisoning
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Урок 91.
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Toxicity
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Урок 92.
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Hallucinations
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Урок 93.
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Thinking Like LLMs - Big vs Small
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Урок 94.
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Challenge: Conduct Your Own Mechanistic Interpretability Research on Hallucinations
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Урок 95.
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The Model Card
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Урок 96.
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Model Cards Deep Dive
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Урок 97.
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Introduction to Hyperparameters and the OpenAI Playground
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Урок 98.
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Temperature
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Урок 99.
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Top P
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Урок 100.
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Frequency and Presence Penalties
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Урок 101.
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Stop Sequences
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Урок 102.
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What Are Open Source LLMs and Why Are They Important?
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Урок 103.
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Chatbot Arena Leaderboard
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Урок 104.
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Battle of the Intelligence Tests
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Урок 105.
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Exercise: Create Your Own Test Prompt (Totem)
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Урок 106.
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Introduction to LMStudio
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Урок 107.
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Setting Up Your Own Model - Part 1
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Урок 108.
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Setting Up Your Own Model - Part 2
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Урок 109.
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Introduction
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Урок 110.
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Auto-Priming
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Урок 111.
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Chain of Density Prompting
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Урок 112.
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Prompt Variables
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Урок 113.
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Prompt Chaining
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Урок 114.
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Prompt Chaining - Programmatic Visualization
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Урок 115.
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Exercise: Prompt Chaining - Customer Support
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Урок 116.
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Thinking Like LLMs - Dark Magic
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Урок 117.
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XML Tags - There's More Than Meets The Eye!
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Урок 118.
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Emotional Stimuli - Part 1
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Урок 119.
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Emotional Stimuli - Part 2
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Урок 120.
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Emotional Stimuli - Part 3 (But Why?)
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Урок 121.
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Self-Consistency
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Урок 122.
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ReAct Prompting
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Урок 123.
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ReAct + CoT-SC
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Урок 124.
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Applied Prompt Engineering with CRISPR - Part 1
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Урок 125.
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Applied Prompt Engineering with CRISPR - Part 2
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Урок 126.
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Tree of Thoughts - Part 1
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Урок 127.
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Tree of Thoughts - Part 2
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Урок 128.
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Tree of Thoughts - Part 3 (ToT via Code)
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Tree of Thoughts - Part 4 (ToT via Chaining)
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Tree of Thoughts - Part 5 ("Zero Shot" ToT)
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Урок 131.
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Introduction to Prompt Testing
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Урок 132.
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The Importance of Prompt Testing
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Урок 133.
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Thinking Like LLMs - Schrodinger's Prompt
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Урок 134.
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Building a Prompt Test
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Урок 135.
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The Golden Answer
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Урок 136.
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Model Benchmarks
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Урок 137.
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Deep Dive: MMLU Benchmark
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Урок 138.
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Prompt Tests vs. Model Benchmarks?
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Урок 139.
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The Latest: MMLU Pro
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Урок 140.
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Evaluating Results - Human Judge
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Урок 141.
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Evaluating Results - Code Judge
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Урок 142.
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Evaluating Results - AI Judge
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Урок 143.
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Deep Dive: LLMs as a Judge - Biases
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Урок 144.
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Deep Dive: LLMs as a Judge - Prompts
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Урок 145.
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Thinking Like LLMs - Ex Post Facto Reasoning
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Урок 146.
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Here. We. Go!
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Урок 147.
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Introduction to PromptFoo
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Урок 148.
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Our Prompt Testing Framework
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Урок 149.
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Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Setup
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Урок 150.
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Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Results
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Урок 151.
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Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Setup
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Урок 152.
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Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Results
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Урок 153.
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Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Setup
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Урок 154.
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Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Results
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Урок 155.
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Our 4th Prompt Test (Adding Multiple Models) - The Setup
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Урок 156.
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Our 4th Prompt Test (Adding Multiple Models) - The Results
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Урок 157.
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Our 5th Prompt Test (Adding System Messages) - The Setup
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Урок 158.
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Our 5th Prompt Test (Adding System Messages) - The Results
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Урок 159.
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Do You Realize What Just Happened?
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Урок 160.
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Introduction - Through The Looking Glass...
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Урок 161.
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Applied Prompt Engineering with The Turing Test
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Урок 162.
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Mechanistic Interpretability - Part 1
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Урок 163.
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Mechanistic Interpretability - Part 2
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Урок 164.
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Scaling Laws - Model Size
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Урок 165.
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Scaling Laws - Dataset Size
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Урок 166.
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Scaling Laws - Training Compute
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Урок 167.
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Thank You!
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Урок 168.
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Setup Demo: Getting Your API Key
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Урок 169.
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Setup Demo: Downloading AutoGPT
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Урок 170.
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Setup Demo: Installing Docker
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Урок 171.
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Launching Your Autonomous Agent - Part 1
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Урок 172.
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Launching Your Autonomous Agent - Part 2
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Урок 173.
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It's Aliiiiiive! Running Your Autonomous Agent
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Урок 174.
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Task 1: Hello World - Your First Website
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Урок 175.
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Task 2: Python Program - Palindrome Checker