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

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Language: Python
last commit: 5 months 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

discord.gg/m88xfYMbK6

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] 36,776 6 days ago
[Github] 3,266 8 months ago
[Github] 3,946 6 days ago
[Github] 38 6 months ago
[Github] 2,121 6 days ago
[Github] 22,829 6 days ago
[Github] 535 about 1 month ago
[Github] 17,691 6 days ago
[Github] 94,887 6 days ago
[Github] 4,371 4 months ago
[Github] 2,591 over 1 year ago
[Github] 309 9 months ago
[Github] 397 almost 2 years ago
[Github] 2,696 about 1 year ago
[Github] 893 5 months ago
[Tool]
[Github] 962 6 months ago
[Tool]
[Tool]
[Github] 1,275 6 days ago
[Tool]

Table of Contents / Apis
[OpenAI]
[CohereAI]
[Anthropic]
[HuggingFace]

Table of Contents / Datasets
[HuggingFace]
[Github] 113,168 10 days ago
[Kaggle]
[HuggingFace]

Table of Contents / Models
[OpenAI]
[Github]
[HuggingFace]
[Alpa]
[HuggingFace]
[HuggingFace/Google]
[HuggingFace]
[HuggingFace]
[Github] 7,705 10 months ago
[Github] 8,232 over 2 years ago
[Github] 466 9 months ago
[Github] 169 over 1 year ago
[Github] 7,659 over 1 year ago
[HuggingFace]

Table of Contents / AI Content Detectors
[OpenAI]
[HuggingFace]
[GitHub] 122 almost 2 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 3 months 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 113,168 10 days ago
Best 100+ Stable Diffusion Prompts
DALLE Prompt Book
OpenAI Cookbook 59,807 8 days 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

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