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Премиум
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    Learn To Work With LLMs with Scott Kerr
  • Урок 2. 00:06:20
    Course Introduction
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    What is Prompt Engineering?
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    Why is Prompt Engineering Even a Thing?
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    Breaking GPT
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    Applied Prompt Engineering
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    Applied Prompt Engineering with NASA
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    Why is Prompt Engineering Important to You?
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    What I'm Using - Part 1
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    What I'm Using - Part 2 (OpenAI Playground)
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    Multi-Modality and Tools in LLMs
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    Getting Started with ChatGPT
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    The Basics of ChatGPT
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    ChatGPT App
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    Optional: ChatGPT Plus
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    Project Introduction
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    Setting Up Your Replit Account
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    The First Try
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    Building Our Snake Game - Part 1
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    Building Our Snake Game - Part 2
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    Introduction to LLMs - Part 1
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    Introduction to LLMs - Part 2
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    Tokens
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    Word Guessing Machines?
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    Thinking Like LLMs - Roll a Dice
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    Inside LLMs
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    The Transformer Model
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    Exercise: Visualize the LLM Architecture
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    The Training Process
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    Base Model vs. Assistant Model
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    Thinking Like LLMs - The Reversal Curse
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    Artificial General Intelligence (AGI)
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    Exercise: Use ChatGPT to Read the Research
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    The World of LLMs
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    Overview of Our Prompting Framework
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    The Standard Prompt
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    Exercise: Get Hyped to Learn!
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    The Setup
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    The System Message - Part 1
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    The System Message - Part 2
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    Exercise: Strengthen Your System Message
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    Context - What it Is
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    Context - The Context Window
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    Context - Lost in the Middle
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    Personas and Roles
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    Personas - Tone, Style and Voice
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    Custom Instructions
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    Thinking Like LLMs - Can GPT Keep a Secret?
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    Exercise: Get ChatGPT to Spill the Tea - Part 1
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    Exercise: Get ChatGPT to Spill the Tea - Part 2
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    Exercise: Get ChatGPT to Spill the Tea - Part 3
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    The User Message
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    Be Clear and Specific
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    Delimiters
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    Exercise: Identify Delimiters
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    X-Y Problem
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    In-Context Training
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    Zero Shot Prompting
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    One Shot and Few Shot Prompting
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    Language Models Are Few-Shot Learners
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    How Many Examples?
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    Thinking Like LLMs - But Wait...
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    Chain-of-Thought Prompting - Part 1
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    Chain-of-Thought Prompting - Part 2
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    Zero Shot CoT
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    Exercise: Imposter Syndrome
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    Career Coach Ideation
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    The Setup - Persona
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    The Setup - Context and Commands
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    The Instructions - Modes
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    The Instructions - Chain of Thought
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    The Instructions - Gamify
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    Meet Your Career Coach
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    The Output
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    Length
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    Formats
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    Exercise: Output an Excel File
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    Exercise: Make a Flowchart
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    Jailbreak!
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    Thinking Like LLMs - Prompt Injection
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    Introduction to Hyperparameters and the OpenAI Playground
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    Temperature
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    Top P
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    Frequency and Presence Penalties
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    Stop Sequences
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    Setup Demo: Getting Your API Key
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    Setup Demo: Downloading AutoGPT
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    Setup Demo: Installing Docker
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    Launching Your Autonomous Agent - Part 1
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    Launching Your Autonomous Agent - Part 2
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    It's Aliiiiiive! Running Your Autonomous Agent
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    Task 1: Hello World - Your First Website
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    Task 2: Python Program - Palindrome Checker
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    What Are Open Source LLMs and Why Are They Important?
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    Chatbot Arena Leaderboard
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    Battle of the Intelligence Tests
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    Exercise: Create Your Own Test Prompt (Totem)
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    Introduction to LMStudio
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    Setting Up Your Own Model - Part 1
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    Setting Up Your Own Model - Part 2
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    Introduction
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    Auto-Priming
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    Chain of Density Prompting
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    Prompt Variables
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    Prompt Chaining
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    Prompt Chaining - Programmatic Visualization
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    Exercise: Prompt Chaining - Customer Support
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    Thinking Like LLMs - Dark Magic
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    XML Tags - There's More Than Meets The Eye!
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    Emotional Stimuli - Part 1
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    Emotional Stimuli - Part 2
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    Emotional Stimuli - Part 3 (But Why?)
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    Self-Consistency
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    ReAct Prompting
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    ReAct + CoT-SC
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    Applied Prompt Engineering with CRISPR - Part 1
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    Applied Prompt Engineering with CRISPR - Part 2
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    Tree of Thoughts - Part 1
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    Tree of Thoughts - Part 2
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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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    Thank You!