Awesome-Prompt-Engineering

Prompting library

A curated collection of resources and research papers on designing effective prompts for large language models, including GPT and other transformer-based architectures.

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

GitHub

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Language: Python

last commit: about 2 years ago

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chatgptchatgpt-apideep-learningfew-shot-learninggptgpt-3machine-learningopenaipromptprompt-based-learningprompt-engineeringprompt-generatorprompt-learningprompt-toolkitprompt-tuningpromptengineeringtext-to-imagetext-to-speechtext-to-video

Screenshot of promptslab/Awesome-Prompt-Engineering website

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Table of Contents / Papers
Text Mining for Prompt Engineering: Text-Augmented Open Knowledge Graph Completion via PLMs			[2023] (ACL)
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT			[2023] (Arxiv)
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery			[2023] (Arxiv)
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models			[2023] (Arxiv)
Progressive Prompts: Continual Learning for Language Models			[2023] (Arxiv)
Batch Prompting: Efficient Inference with LLM APIs			[2023] (Arxiv)
Successive Prompting for Decompleting Complex Questions			[2022] (Arxiv)
Structured Prompting: Scaling In-Context Learning to 1,000 Examples			[2022] (Arxiv)
Large Language Models Are Human-Level Prompt Engineers			[2022] (Arxiv)
Ask Me Anything: A simple strategy for prompting language models			[2022] (Arxiv)
Prompting GPT-3 To Be Reliable
Decomposed Prompting: A Modular Approach for Solving Complex Tasks			[2022] (Arxiv)
PromptChainer: Chaining Large Language Model Prompts through Visual Programming			[2022] (Arxiv)
Investigating Prompt Engineering in Diffusion Models			[2022] (Arxiv)
Show Your Work: Scratchpads for Intermediate Computation with Language Models			[2021] (Arxiv)
Reframing Instructional Prompts to GPTk's Language			[2021] (Arxiv)
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity			[2021] (Arxiv)
The Power of Scale for Parameter-Efficient Prompt Tuning			[2021] (Arxiv)
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm			[2021] (Arxiv)
Prefix-Tuning: Optimizing Continuous Prompts for Generation			[2021] (Arxiv)
Multimodal Chain-of-Thought Reasoning in Language Models			[2023] (Arxiv)
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning			[2022] (Arxiv)
ReAct: Synergizing Reasoning and Acting in Language Models			[2022] (Arxiv)
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought			[2022] (Arxiv)
On the Advance of Making Language Models Better Reasoners			[2022] (Arxiv)
Large Language Models are Zero-Shot Reasoners			[2022] (Arxiv)
Reasoning Like Program Executors			[2022] (Arxiv)
Self-Consistency Improves Chain of Thought Reasoning in Language Models			[2022] (Arxiv)
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?			[2022] (Arxiv)
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering			[2022] (Arxiv)
Chain of Thought Prompting Elicits Reasoning in Large Language Models			[2021] (Arxiv)
Generated Knowledge Prompting for Commonsense Reasoning			[2021] (Arxiv)
BERTese: Learning to Speak to BERT			[2021] (Acl)
Large Language Models Can Be Easily Distracted by Irrelevant Context			[2023] (Arxiv)
Crawling the Internal Knowledge-Base of Language Models			[2023] (Arxiv)
Discovering Language Model Behaviors with Model-Written Evaluations			[2022] (Arxiv)
Calibrate Before Use: Improving Few-Shot Performance of Language Models			[2021] (Arxiv)
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves			[2023] (Arxiv)
Prompting for Multimodal Hateful Meme Classification			[2023] (Arxiv)
PLACES: Prompting Language Models for Social Conversation Synthesis			[2023] (Arxiv)
Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation			[2023] (Arxiv)
PAL: Program-aided Language Models
Legal Prompt Engineering for Multilingual Legal Judgement Prediction			[2023] (Arxiv)
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language			[2022] (Arxiv)
Plot Writing From Scratch Pre-Trained Language Models			[2022] (Acl)
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts			[2020] (Arxiv)
Constitutional AI: Harmlessness from AI Feedback			[2022] (Arxiv)
Ignore Previous Prompt: Attack Techniques For Language Models			[2022] (Arxiv)
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods			[2022] (Arxiv)
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples			[2022] (Arxiv)
Toxicity Detection with Generative Prompt-based Inference			[2022] (Arxiv)
How Can We Know What Language Models Know?			[2020] (Mit)
Promptagator: Few-shot Dense Retrieval From 8 Examples			[2022] (Arxiv)
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning			[2022] (Arxiv)
Making Pre-trained Language Models Better Few-shot Learners			[2021] (Acl)
Language Models are Few-Shot Learners			[2020] (Arxiv)
A Taxonomy of Prompt Modifiers for Text-To-Image Generation			[2022] (Arxiv)
Design Guidelines for Prompt Engineering Text-to-Image Generative Models			[2021] (Arxiv)
High-Resolution Image Synthesis with Latent Diffusion Models			[2021] (Arxiv)
DALL·E: Creating Images from Text			[2021] (Arxiv)
MusicLM: Generating Music From Text			[2023] (Arxiv)
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models			[2023] (Arxiv)
Noise2Music: Text-conditioned Music Generation with Diffusion Models			[2023) (Arxiv)
AudioLM: a Language Modeling Approach to Audio Generation			[2023] (Arxiv)
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models			[2023] (Arxiv)
Dreamix: Video Diffusion Models are General Video Editors			[2023] (Arxiv)
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation			[2022] (Arxiv)
Noise2Music: Text-conditioned Music Generation with Diffusion Models			[2023) (Arxiv)
AudioLM: a Language Modeling Approach to Audio Generation			[2023] (Arxiv)
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?			[2022] (Arxiv)
Table of Contents / Tools & Code
[Github]	37,371	almost 2 years ago
[Github]	3,327	over 2 years ago
[Github]	4,271	almost 2 years ago
[Github]	43	over 2 years ago
[Github]	2,588	almost 2 years ago
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[Github]	537	almost 2 years ago
[Github]	18,094	almost 2 years ago
[Github]	96,146	almost 2 years ago
[Github]	4,398	about 2 years ago
[Github]	2,602	over 3 years ago
[Github]	318	over 2 years ago
[Github]	397	over 3 years ago
[Github]	2,718	almost 3 years ago
[Github]	906	almost 2 years ago
[Tool]
[Github]	969	over 2 years ago
[Tool]
[Tool]
[Github]	1,624	almost 2 years ago
[Tool]
Table of Contents / Apis
[OpenAI]
[CohereAI]
[Anthropic]
[HuggingFace]
Table of Contents / Datasets
[HuggingFace]
[Github]	114,113	almost 2 years ago
[Kaggle]
[HuggingFace]
Table of Contents / Models
[OpenAI]
[Github]
[HuggingFace]
[Alpa]
[HuggingFace]
[HuggingFace/Google]
[HuggingFace]
[HuggingFace]
[Github]	7,729	over 2 years ago
[Github]	8,244	over 4 years ago
[Github]	467	over 2 years ago
[Github]	171	over 3 years ago
[Github]	7,672	about 3 years ago
[HuggingFace]
Table of Contents / AI Content Detectors
[OpenAI]
[HuggingFace]
[GitHub]	122	over 3 years ago
Table of Contents / Courses
ChatGPT Prompt Engineering for Developers			, by
Prompt Engineering for Vision Models			by
Table of Contents / Tutorials
Prompt Engineering 101 - Introduction and resources
Prompt Engineering 101
Prompt Engineering Guide by SudalaiRajkumar	44	about 2 years ago
A beginner-friendly guide to generative language models - LaMBDA guide
Generative AI with Cohere: Part 1 - Model Prompting
Best practices for prompt engineering with OpenAI API
How to write good prompts
A Complete Introduction to Prompt Engineering for Large Language Models
Prompt Engineering Guide: How to Engineer the Perfect Prompts
3 Principles for prompt engineering with GPT-3
A Generic Framework for ChatGPT Prompt Engineering
Methods of prompt programming
Awesome ChatGPT Prompts	114,113	almost 2 years ago
Best 100+ Stable Diffusion Prompts
DALLE Prompt Book
OpenAI Cookbook	60,643	almost 2 years ago
Prompt Engineering by Microsoft
Table of Contents / Videos
Advanced ChatGPT Prompt Engineering
ChatGPT: 5 Prompt Engineering Secrets For Beginners
CMU Advanced NLP 2022: Prompting
Prompt Engineering - A new profession ?
ChatGPT Guide: 10x Your Results with Better Prompts
Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP
Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting
Table of Contents / Communities
OpenAI Discord
PromptsLab Discord
Learn Prompting
r/ChatGPT Discord
MidJourney Discord

Backlinks from these awesome lists:

dukeluo/awesome-awesome-prompts

Awesome-Prompt-Engineering

Table of Contents / Papers

Table of Contents / Tools & Code

Table of Contents / Apis

Table of Contents / Datasets

Table of Contents / Models

Table of Contents / AI Content Detectors

Table of Contents / Courses

Table of Contents / Tutorials

Table of Contents / Videos

Table of Contents / Communities

Backlinks from these awesome lists:

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