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Learn Prompting

Prompt Engineering Guide

😃 Basics

🟢 Introduction to AI

🟢 Prompting With ChatGPT

🟢 Prompt Engineering

🟢 Learn Prompting Embeds

🟢 Giving Instructions

🟢 Assigning Roles

🟢 Showing Examples

🟢 Combining Techniques

🟢 Formalizing Prompts

🟢 Priming Chatbots

🟢 OpenAI Playground

🟢 LLM Settings

🟢 Pitfalls of LLMs

🟢 Understanding AI Minds

🟢 The Learn Prompting Method

🟢 Starting Your Journey

💼 Applications

🟢 Introduction

🟢 Structuring Data

🟢 Writing An Email

🟢 Study Buddy

🟦 Coding Assistance

🟦 Digital Marketing

🟢 Finding Emojis

🟢 Different Writing Styles

🟢 Summarizing Text

🟢 Zapier for Emails

🟢 Multiple Choice Questions

🟢 Solve Discussion Questions

🟢 Build ChatGPT from GPT-3

🟢 Chatbot + Knowledge Base

🧙‍♂️ Intermediate

🟢 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?

🤖 Đại lý

🟢 Introduction

🟦 LLMs Using Tools

🟦 LLMs that Reason and Act

🟦 Code as Reasoning

⚖️ Reliability

🟢 Introduction

🟢 Prompt Debiasing

🟦 Prompt Ensembling

🟦 LLM Self Evaluation

Calibrating LLMs

🖼️ Image Prompting

🟢 Introduction

🟢 Style Modifiers

🟢 Quality Boosters

🟢 Repetition

🟢 Weighted Terms

🟢 Fix Deformed Generations

🟢 Midjourney

🔓 Prompt Hacking

🔨 Tooling

💪 Prompt Tuning

Interpretable Soft Prompts

🎲 Miscellaneous

🟢 Detecting AI Generated Text

🟢 Detection Trickery

🟢 Music Generation

📙 Vocabulary Reference

📚 Bibliography

📦 Prompted Products

🛸 Additional Resources

🔥 Hot Topics

🔨 ToolingPrompt Engineering IDEsPromptChainer

PromptChainer

Last updated on August 7, 2024 by Sander Schulhoff

PromptChainer¹ is a research tool for prompt engineering. It focuses on chaining prompts together, and is the most refined research IDE that I have found.

Features

PromptChainer has a chain view, as well as an individual node view. They also provide debugging features.

Footnotes

Wu, T., Jiang, E., Donsbach, A., Gray, J., Molina, A., Terry, M., & Cai, C. J. (2022). PromptChainer: Chaining Large Language Model Prompts through Visual Programming. ↩

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