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Prompt Engineering Guide
😃 Basics
🟢 Introduction to AI
🟢 Prompting With ChatGPT
🟢 Prompt Engineering
🟢 Learn Prompting Embeds
🟢 Giving Instructions
🟢 Assigning Roles
🟢 Showing Examples
🟢 Formalizing Prompts
🟢 Chatbots
🟢 Combining Techniques
🟢 Priming Chatbots
🟢 OpenAI Playground
🟢 LLM Settings
🟢 Pitfalls of LLMs
🟢 Understanding AI Minds
🟢 The Learn Prompting Method
🟢 Starting Your Journey
💼 Basic Applications
🟢 Introduction
🟢 Structuring Data
🟢 Writing An Email
🟢 Blogs
🟢 Study Buddy
🟦 Coding Assistance
🟦 Digital Marketing
🟢 Finding Emojis
🟢 Contracts
🟢 Different Writing Styles
🟢 Summarizing Text
🟢 Zapier for Emails
🧙‍♂️ Intermediate
🟢 Introduction
🟢 Chain of Thought Prompting
🟢 Zero Shot Chain of Thought
🟦 Self-Consistency
🟦 Generated Knowledge
🟦 Least to Most Prompting
🟦 Dealing With Long Form Content
🟦 Revisiting Roles
🟢 What's in a Prompt?
🧪 Applied Prompting
🟢 Introduction
🟢 Multiple Choice Questions
🟢 Solve Discussion Questions
🟢 Build ChatGPT from GPT-3
🟢 Chatbot + Knowledge Base
🚀 Advanced Applications
🟢 Introduction
🟦 LLMs Using Tools
🟦 LLMs that Reason and Act
🟦 Code as Reasoning
Special Topics
⚖️ Reliability
🟢 Introduction
🟢 Prompt Debiasing
🟦 Prompt Ensembling
🟦 LLM Self Evaluation
Calibrating LLMs
🟦 Math
🖼️ Image Prompting
🟢 Introduction
🟢 Style Modifiers
🟢 Quality Boosters
🟢 Repetition
🟢 Weighted Terms
🟢 Fix Deformed Generations
🟢 Shot type
🟢 Midjourney
🟢 Resources
🔓 Prompt Hacking
🟢 Introduction
🟢 Prompt Injection
🟢 Prompt Leaking
🟢 Jailbreaking
🟢 Defensive Measures
🟢 Introduction
🟢 Filtering
🟢 Instruction Defense
🟢 Post-Prompting
🟢 Random Sequence Enclosure
🟢 Sandwich Defense
🟢 XML Tagging
🟢 Separate LLM Evaluation
🟢 Other Approaches
🟢 Offensive Measures
🟢 Introduction
🟢 Obfuscation/Token Smuggling
🟢 Payload Splitting
🟢 Defined Dictionary Attack
🟢 Virtualization
🟢 Indirect Injection
🟢 Recursive Injection
🟢 Code Injection
🔨 Tooling
🟢 Introduction
Prompt Engineering Tools
Prompt Engineering IDEs
🟢 Introduction
GPT-3 Playground
Dust
Soaked
Everyprompt
Prompt IDE
PromptTools
PromptSource
PromptChainer
Prompts.ai
Snorkel 🚧
Human Loop
Spellbook 🚧
Kolla Prompt 🚧
Lang Chain
OpenPrompt
OpenAI DALLE IDE
Dream Studio
Patience
Promptmetheus
PromptSandbox.io
The Forge AI
AnySolve
Conclusion
💪 Prompt Tuning
🟢 Introduction
Soft Prompts
Interpretable Soft Prompts
🎲 Miscellaneous
🟢 Detecting AI Generated Text
🟢 Introduction
🟢 Detection Trickery
🟢 Music Generation
Resources
📙 Vocabulary Reference
📚 Bibliography
📦 Prompted Products
🛸 Additional Resources
🔥 Hot Topics
✨ Credits
📙 Vocabulary Reference

Definition of Reinforcement Learning from Human Feedback (RLHF)

RLHF is a method for fine tuning LLMs according to human preference data.

For more definitions, view the full list.

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