Prompt-Engineering-Guide/README.md

# Prompt Engineering Guide

This guide contains a set of learning guides and tools related to prompt engineering. It includes several materials, guides, examples, papers, and much more. The repo is intended to be used as a research and educational reference for practitioners and developers.

**📣 Full lecture + notebook + exercises on the ~30th of January** (announcement will happen on [Twitter](https://twitter.com/dair_ai))

## Table of Contents

- [Papers](#papers)
- [Tools & Libraries](#tools--libraries)
- [Datasets](#datasets)
- [Blog, Guides, Tutorials and Other Readings](#blog-guides-tutorials-and-other-readings)

## Papers

- Surveys / Overviews:
  - [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) 
  - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988)
  - [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682)
  - [A Survey for In-context Learning](https://arxiv.org/pdf/2301.00234.pdf)
  
- Applications:
  - [Legal Prompt Engineering for Multilingual Legal Judgement Prediction](https://arxiv.org/abs/2212.02199)
  - [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462)
  - [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157)
  - [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699)
  
- Approaches/Techniques:
  - [Ask Me Anything: A simple strategy for prompting language models](https://paperswithcode.com/paper/ask-me-anything-a-simple-strategy-for)
  - [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)
  - [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://arxiv.org/abs/2010.15980)
  - [Large Language Models Are Human-Level Prompt Engineers](https://sites.google.com/view/automatic-prompt-engineer?pli=1)
  - [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316/)
  - [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)
  - [Large Language Models are Zero-Shot Reasoners](https://arxiv.org/abs/2205.11916)
  - [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)
  - [Structured Prompting: Scaling In-Context Learning to 1,000 Examples](https://arxiv.org/abs/2212.06713)
  - [Chain of Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903)
  - [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://arxiv.org/abs/2102.09690)
  - [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830)
  - [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755)
  - [Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://arxiv.org/abs/2101.00190)
  - [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295/)
  - [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://www.arxiv-vanity.com/papers/2102.07350/)
  - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988)
  - [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566)
  - [How Can We Know What Language Models Know?](https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00324/96460/How-Can-We-Know-What-Language-Models-Know)
- Collections:
  - [Papers with Code](https://paperswithcode.com/task/prompt-engineering)
  - [Prompt Papers](https://github.com/thunlp/PromptPapers#papers)


## Tools & Libraries

- [OpenAI Playground](https://beta.openai.com/playground)
- [GPTTools](https://gpttools.com/comparisontool)
- [LangChain](https://github.com/hwchase17/langchain)
- [EveryPrompt](https://www.everyprompt.com/)
- [DUST](https://dust.tt/)
- [Dyno](https://trydyno.com/)
- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)
- [Lexica](https://lexica.art/)
- [Scale SpellBook](https://scale.com/spellbook)
- [Interactive Composition Explorer](https://github.com/oughtinc/ice)
- [LearnGPT](https://www.learngpt.com/)
- [Promptable](https://promptable.ai/)
- [GPT Index](https://github.com/jerryjliu/gpt_index)
- [Prompt Base](https://promptbase.com/)
- [Playground](https://playgroundai.com/)
- [OpenPrompt](https://github.com/thunlp/OpenPrompt)
- [Visual Prompt Builder](https://tools.saxifrage.xyz/prompt)
- [Prompt Generator for OpenAI's DALL-E 2](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/)
- [AI Test Kitchen](https://aitestkitchen.withgoogle.com/)
- [betterprompt](https://github.com/krrishdholakia/betterprompt)
- [Prompt Engine](https://github.com/microsoft/prompt-engine)
- [PromptSource](https://github.com/bigscience-workshop/promptsource)
- [sharegpt](https://sharegpt.com/)
- [DreamStudio](https://beta.dreamstudio.ai/)

## Datasets
- [PartiPrompts](https://parti.research.google/)
- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)
- [DiffusionDB](https://github.com/poloclub/diffusiondb)
- [P3 - Public Pool of Prompts](https://huggingface.co/datasets/bigscience/P3)
- [WritingPrompts](WritingPrompts)
- [Midjourney Prompts](https://huggingface.co/datasets/succinctly/midjourney-prompts)
- [Awesome ChatGPT Prompts](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts)
- [Stable Diffusion Dataset](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts)

## Blog, Guides, Tutorials and Other Readings
- [Pretrain, Prompt, Predict -  A New Paradigm for NLP](http://pretrain.nlpedia.ai/)
- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain/)
- [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering)
- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering/)
- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)
- [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares)
- [Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)
- [Prompt engineering davinci-003 on our own docs for automated support (Part I)](https://www.patterns.app/blog/2022/12/21/finetune-llm-tech-support/)
- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book/)
- [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection/)
- [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares)
- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering/)
- [Learn Prompting](https://learnprompting.org/)
- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately/)
- [Extrapolating to Unnatural Language Processing with GPT-3's In-context Learning: The Good, the Bad, and the Mysterious](http://ai.stanford.edu/blog/in-context-learning/)
- [Prompt Engineering Topic by GitHub](https://github.com/topics/prompt-engineering)
- [Prompt Engineering Template](https://docs.google.com/spreadsheets/d/1-snKDn38-KypoYCk9XLPg799bHcNFSBAVu2HVvFEAkA/edit#gid=0)
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
- [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering)
- [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)
- [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse)
- [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts)
- [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3/)
- [Talking to machines: prompt engineering & injection](https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection/)
- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
- [Giving GPT-3 a Turing Test](https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html)
- [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming)
- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
- [How to Draw Anything](https://andys.page/posts/how-to-draw/)
- [How to write good prompts](https://andymatuschak.org/prompts/)
- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp/)
- [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a/)
- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts/)
- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)

# Lecture + Tutorial
Full tutorial and lecture coming soon!

---
Feel free to open a PR if you think something is missing here. Always welcome feedback and suggestions.

Join our [Discord](https://discord.gg/SKgkVT8BGJ)
Update README.md 2022-12-16 16:07:07 +00:00			`# Prompt Engineering Guide`
Create README.md 2022-12-16 16:05:47 +00:00
Update README.md 2023-01-22 22:13:46 +00:00			`This guide contains a set of learning guides and tools related to prompt engineering. It includes several materials, guides, examples, papers, and much more. The repo is intended to be used as a research and educational reference for practitioners and developers.`
Update README.md 2022-12-16 16:07:07 +00:00
Update README.md 2023-01-11 16:03:40 +00:00			`📣 Full lecture + notebook + exercises on the ~30th of January (announcement will happen on [Twitter](https://twitter.com/dair_ai))`
Update README.md 2023-01-09 00:13:20 +00:00
Update README.md 2023-01-07 00:06:30 +00:00			`## Table of Contents`
Update README.md 2022-12-17 15:55:13 +00:00
			`- [Papers](#papers)`
			`- [Tools & Libraries](#tools--libraries)`
			`- [Datasets](#datasets)`
			`- [Blog, Guides, Tutorials and Other Readings](#blog-guides-tutorials-and-other-readings)`

Update README.md 2022-12-16 16:07:16 +00:00			`## Papers`
Update README.md 2022-12-16 16:07:07 +00:00
Update README.md 2022-12-17 20:05:44 +00:00			`- Surveys / Overviews:`
Update README.md 2022-12-16 22:23:01 +00:00			`- [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586)`
			`- [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988)`
Update README.md 2022-12-17 20:05:44 +00:00			`- [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682)`
Update README.md 2023-01-15 05:18:12 +00:00			`- [A Survey for In-context Learning](https://arxiv.org/pdf/2301.00234.pdf)`
Update README.md 2023-01-22 23:12:42 +00:00
Update README.md 2022-12-16 22:23:01 +00:00			`- Applications:`
			`- [Legal Prompt Engineering for Multilingual Legal Judgement Prediction](https://arxiv.org/abs/2212.02199)`
			`- [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462)`
			`- [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157)`
			`- [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699)`
Update README.md 2023-01-22 23:12:42 +00:00
Update README.md 2022-12-16 22:23:01 +00:00			`- Approaches/Techniques:`
Update README.md 2022-12-17 15:48:02 +00:00			`- [Ask Me Anything: A simple strategy for prompting language models](https://paperswithcode.com/paper/ask-me-anything-a-simple-strategy-for)`
Update README.md 2022-12-17 20:05:44 +00:00			`- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)`
Update README.md 2022-12-17 20:10:14 +00:00			`- [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://arxiv.org/abs/2010.15980)`
Update README.md 2022-12-16 22:23:01 +00:00			`- [Large Language Models Are Human-Level Prompt Engineers](https://sites.google.com/view/automatic-prompt-engineer?pli=1)`
Update README.md 2023-01-12 03:22:44 +00:00			`- [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316/)`
Update README.md 2023-01-21 05:03:12 +00:00			`- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)`
Update README.md 2023-01-05 03:48:37 +00:00			`- [Large Language Models are Zero-Shot Reasoners](https://arxiv.org/abs/2205.11916)`
Update README.md 2023-01-22 23:12:42 +00:00			`- [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)`
Update README.md 2022-12-19 17:19:53 +00:00			`- [Structured Prompting: Scaling In-Context Learning to 1,000 Examples](https://arxiv.org/abs/2212.06713)`
Update README.md 2023-01-05 03:48:37 +00:00			`- [Chain of Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903)`
Update README.md 2023-01-22 23:14:28 +00:00			`- [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://arxiv.org/abs/2102.09690)`
Update README.md 2022-12-17 20:05:44 +00:00			`- [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830)`
Update README.md 2022-12-16 22:23:01 +00:00			`- [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755)`
Update README.md 2023-01-12 04:14:51 +00:00			`- [Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://arxiv.org/abs/2101.00190)`
Update README.md 2023-01-12 03:42:08 +00:00			`- [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295/)`
Update README.md 2022-12-17 15:48:02 +00:00			`- [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://www.arxiv-vanity.com/papers/2102.07350/)`
Update README.md 2023-01-07 00:06:08 +00:00			`- [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988)`
Update README.md 2022-12-17 20:10:14 +00:00			`- [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566)`
Update README.md 2023-01-12 01:47:14 +00:00			`- [How Can We Know What Language Models Know?](https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00324/96460/How-Can-We-Know-What-Language-Models-Know)`
Update README.md 2022-12-17 15:48:02 +00:00			`- Collections:`
			`- [Papers with Code](https://paperswithcode.com/task/prompt-engineering)`
			`- [Prompt Papers](https://github.com/thunlp/PromptPapers#papers)`
Update README.md 2022-12-16 22:23:01 +00:00
Update README.md 2022-12-16 16:07:38 +00:00
Update README.md 2022-12-17 15:48:02 +00:00			`## Tools & Libraries`
Update README.md 2022-12-16 20:22:23 +00:00
Update README.md 2022-12-16 20:35:27 +00:00			`- [OpenAI Playground](https://beta.openai.com/playground)`
			`- [GPTTools](https://gpttools.com/comparisontool)`
Update README.md 2023-01-20 00:15:08 +00:00			`- [LangChain](https://github.com/hwchase17/langchain)`
Update README.md 2023-01-05 18:15:14 +00:00			`- [EveryPrompt](https://www.everyprompt.com/)`
Update README.md 2023-01-05 18:17:43 +00:00			`- [DUST](https://dust.tt/)`
Update README.md 2023-01-22 22:45:39 +00:00			`- [Dyno](https://trydyno.com/)`
Update README.md 2023-01-05 18:22:42 +00:00			`- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)`
Update README.md 2022-12-16 20:35:27 +00:00			`- [Lexica](https://lexica.art/)`
Update README.md 2023-01-10 04:13:22 +00:00			`- [Scale SpellBook](https://scale.com/spellbook)`
Update README.md 2023-01-05 03:50:47 +00:00			`- [Interactive Composition Explorer](https://github.com/oughtinc/ice)`
Update README.md 2023-01-17 18:32:37 +00:00			`- [LearnGPT](https://www.learngpt.com/)`
Update README.md 2023-01-07 02:19:46 +00:00			`- [Promptable](https://promptable.ai/)`
Update README.md 2023-01-05 18:09:37 +00:00			`- [GPT Index](https://github.com/jerryjliu/gpt_index)`
Update README.md 2022-12-17 17:16:08 +00:00			`- [Prompt Base](https://promptbase.com/)`
Update README.md 2022-12-16 20:35:27 +00:00			`- [Playground](https://playgroundai.com/)`
Update README.md 2022-12-17 15:48:02 +00:00			`- [OpenPrompt](https://github.com/thunlp/OpenPrompt)`
Update README.md 2022-12-16 20:35:27 +00:00			`- [Visual Prompt Builder](https://tools.saxifrage.xyz/prompt)`
			`- [Prompt Generator for OpenAI's DALL-E 2](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/)`
			`- [AI Test Kitchen](https://aitestkitchen.withgoogle.com/)`
Update README.md 2023-01-05 18:03:55 +00:00			`- [betterprompt](https://github.com/krrishdholakia/betterprompt)`
Update README.md 2022-12-16 20:35:27 +00:00			`- [Prompt Engine](https://github.com/microsoft/prompt-engine)`
Update README.md 2022-12-17 15:48:02 +00:00			`- [PromptSource](https://github.com/bigscience-workshop/promptsource)`
Update README.md 2022-12-20 12:12:57 +00:00			`- [sharegpt](https://sharegpt.com/)`
Update README.md 2023-01-05 17:32:06 +00:00			`- [DreamStudio](https://beta.dreamstudio.ai/)`
Update README.md 2022-12-16 20:22:23 +00:00
Update README.md 2022-12-16 20:35:27 +00:00			`## Datasets`
			`- [PartiPrompts](https://parti.research.google/)`
			`- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)`
Update README.md 2022-12-21 19:44:18 +00:00			`- [DiffusionDB](https://github.com/poloclub/diffusiondb)`
Update README.md 2022-12-16 20:56:04 +00:00			`- [P3 - Public Pool of Prompts](https://huggingface.co/datasets/bigscience/P3)`
Update README.md 2022-12-16 20:49:57 +00:00			`- [WritingPrompts](WritingPrompts)`
Update README.md 2022-12-16 20:54:42 +00:00			`- [Midjourney Prompts](https://huggingface.co/datasets/succinctly/midjourney-prompts)`
Update README.md 2022-12-16 21:00:33 +00:00			`- [Awesome ChatGPT Prompts](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts)`
			`- [Stable Diffusion Dataset](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts)`
Update README.md 2022-12-16 17:38:17 +00:00
Update README.md 2022-12-16 20:54:42 +00:00			`## Blog, Guides, Tutorials and Other Readings`
Update README.md 2023-01-07 04:15:30 +00:00			`- [Pretrain, Prompt, Predict - A New Paradigm for NLP](http://pretrain.nlpedia.ai/)`
Update README.md 2023-01-05 03:36:09 +00:00			`- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain/)`
Update README.md 2022-12-16 17:43:59 +00:00			`- [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering)`
Update README.md 2022-12-16 18:03:44 +00:00			`- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering/)`
Update README.md 2022-12-17 19:51:29 +00:00			`- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)`
Update README.md 2022-12-16 20:22:23 +00:00			`- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)`
Update README.md 2023-01-05 03:44:33 +00:00			`- [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares)`
			`- [Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)`
Update README.md 2022-12-23 13:35:22 +00:00			`- [Prompt engineering davinci-003 on our own docs for automated support (Part I)](https://www.patterns.app/blog/2022/12/21/finetune-llm-tech-support/)`
Update README.md 2022-12-16 17:46:50 +00:00			`- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book/)`
Update README.md 2022-12-16 17:53:36 +00:00			`- [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)`
Update README.md 2022-12-17 20:10:14 +00:00			`- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection/)`
Update README.md 2022-12-17 15:48:02 +00:00			`- [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares)`
add complete intro to prompt engineering for llms 2022-12-22 02:12:45 +00:00			`- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering/)`
Update README.md 2022-12-16 19:56:47 +00:00			`- [Learn Prompting](https://learnprompting.org/)`
Update README.md 2022-12-17 19:51:29 +00:00			`- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately/)`
			`- [Extrapolating to Unnatural Language Processing with GPT-3's In-context Learning: The Good, the Bad, and the Mysterious](http://ai.stanford.edu/blog/in-context-learning/)`
Update README.md 2022-12-16 18:22:49 +00:00			`- [Prompt Engineering Topic by GitHub](https://github.com/topics/prompt-engineering)`
Update README.md 2022-12-16 17:53:36 +00:00			`- [Prompt Engineering Template](https://docs.google.com/spreadsheets/d/1-snKDn38-KypoYCk9XLPg799bHcNFSBAVu2HVvFEAkA/edit#gid=0)`
Update README.md 2022-12-16 18:21:32 +00:00			`- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)`
Update README.md 2022-12-16 17:58:20 +00:00			`- [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering)`
Update README.md 2022-12-16 20:54:42 +00:00			`- [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)`
Update README.md 2023-01-20 18:23:20 +00:00			`- [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse)`
Update README.md 2022-12-17 19:51:29 +00:00			`- [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts)`
			`- [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3/)`
Update README.md 2022-12-17 16:58:37 +00:00			`- [Talking to machines: prompt engineering & injection](https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection/)`
Update README.md 2022-12-16 19:48:23 +00:00			`- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)`
			`- [Giving GPT-3 a Turing Test](https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html)`
Update README.md 2022-12-16 20:22:23 +00:00			`- [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming)`
			`- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)`
			`- [How to Draw Anything](https://andys.page/posts/how-to-draw/)`
			`- [How to write good prompts](https://andymatuschak.org/prompts/)`
Update README.md 2022-12-16 20:49:57 +00:00			`- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp/)`
Update README.md 2022-12-16 20:22:23 +00:00			`- [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a/)`
			`- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts/)`
			`- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)`
Update README.md 2023-01-23 05:54:21 +00:00			`- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)`
Update README.md 2022-12-17 16:09:53 +00:00
Update README.md 2022-12-30 05:17:52 +00:00			`# Lecture + Tutorial`
Update README.md 2023-01-12 03:23:18 +00:00			`Full tutorial and lecture coming soon!`
Update README.md 2022-12-17 16:09:53 +00:00
			`---`
			`Feel free to open a PR if you think something is missing here. Always welcome feedback and suggestions.`
Update README.md 2023-01-17 23:29:47 +00:00
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