sort the websites and data sets by name, fix several typos, and add a few entries.

README.md

@@ -14,17 +14,19 @@ This guide contains a set of papers, learning guides, and tools related to promp
 - [Blog, Guides, Tutorials and Other Readings](#blog-guides-tutorials-and-other-readings)
 
 ## Papers
+#### (Sorted by Release Date)
 
 - Surveys / Overviews:
+
   - [A Survey for In-context Learning](https://arxiv.org/abs/2301.00234) (Dec 2022)
   - [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682) (Jun 2022)
   - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) (Apr 2022)
   - [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) (Jul 2021)
-  
 - Approaches/Techniques:
-  - [Multimodal Chain-of-Thought Reasoning in Language Models](https://arxiv.org/abs/2302.00923) (Feb 2022) 
-  - [Large Language Models Can Be Easily Distracted by Irrelevant Context](https://arxiv.org/abs/2302.00093) (Feb 2022)
-  - [Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models](https://arxiv.org/abs/2302.00618) (Feb 2022)
+
+  - [Multimodal Chain-of-Thought Reasoning in Language Models](https://arxiv.org/abs/2302.00923) (Feb 2023)
+  - [Large Language Models Can Be Easily Distracted by Irrelevant Context](https://arxiv.org/abs/2302.00093) (Feb 2023)
+  - [Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models](https://arxiv.org/abs/2302.00618) (Feb 2023)
   - [Progressive Prompts: Continual Learning for Language Models](https://arxiv.org/abs/2301.12314) (Jan 2023)
   - [Batch Prompting: Efficient Inference with LLM APIs](https://arxiv.org/abs/2301.08721) (Jan 2023)
   - [On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning](https://arxiv.org/abs/2212.08061) (Dec 2022)
@@ -68,117 +70,125 @@ This guide contains a set of papers, learning guides, and tools related to promp
   - [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://arxiv.org/abs/2010.15980) (Oct 2020)
   - [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165) (May 2020)
   - [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) (July 2020)
-  
 - Applications:
+
   - [Legal Prompt Engineering for Multilingual Legal Judgement Prediction](https://arxiv.org/abs/2212.02199) (Dec 2022)
   - [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462) (Nov 2022)
   - [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) (Oct 2022)
   - [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) (Oct 2022)
   - [Plot Writing From Scratch Pre-Trained Language Models](https://aclanthology.org/2022.inlg-main.5/) (July 2022)
-
 - Collections:
+
+  - [Chain-of-ThoughtsPapers](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers)
   - [Papers with Code](https://paperswithcode.com/task/prompt-engineering)
   - [Prompt Papers](https://github.com/thunlp/PromptPapers#papers)
 
-
 ## Tools & Libraries
+#### (Sorted by Name)
 
-- [OpenAI Playground](https://beta.openai.com/playground)
-- [GPTTools](https://gpttools.com/comparisontool)
-- [LangChain](https://github.com/hwchase17/langchain)
-- [ThoughtSource](https://github.com/OpenBioLink/ThoughtSource)
-- [EveryPrompt](https://www.everyprompt.com/)
+- [AI Test Kitchen](https://aitestkitchen.withgoogle.com/)
+- [betterprompt](https://github.com/krrishdholakia/betterprompt)
+- [DreamStudio](https://beta.dreamstudio.ai/)
 - [DUST](https://dust.tt/)
 - [Dyno](https://trydyno.com/)
-- [Metaprompt](https://metaprompt.vercel.app/?task=gpt)
-- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)
-- [Lexica](https://lexica.art/)
-- [Scale SpellBook](https://scale.com/spellbook)
+- [EveryPrompt](https://www.everyprompt.com/)
+- [GPT Index](https://github.com/jerryjliu/gpt_index)
+- [GPTTools](https://gpttools.com/comparisontool)
+- [hwchase17/adversarial-prompts](https://github.com/hwchase17/adversarial-prompts)
 - [Interactive Composition Explorer](https://github.com/oughtinc/ice)
+- [LangChain](https://github.com/hwchase17/langchain)
 - [LearnGPT](https://www.learngpt.com/)
-- [hwchase17/adversarial-prompts](https://github.com/hwchase17/adversarial-prompts) 
-- [Promptable](https://promptable.ai/)
-- [GPT Index](https://github.com/jerryjliu/gpt_index)
-- [Prompt Base](https://promptbase.com/)
-- [Playground](https://playgroundai.com/)
+- [Lexica](https://lexica.art/)
+- [Metaprompt](https://metaprompt.vercel.app/?task=gpt)
+- [OpenAI Playground](https://beta.openai.com/playground)
 - [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)
+- [Playground](https://playgroundai.com/)
+- [Prompt Base](https://promptbase.com/)
 - [Prompt Engine](https://github.com/microsoft/prompt-engine)
+- [Prompt Generator for OpenAI's DALL-E 2](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/)
+- [Promptable](https://promptable.ai/)
+- [PromptInject](https://github.com/agencyenterprise/PromptInject)
+- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)
 - [PromptSource](https://github.com/bigscience-workshop/promptsource)
+- [Scale SpellBook](https://scale.com/spellbook)
 - [sharegpt](https://sharegpt.com/)
-- [DreamStudio](https://beta.dreamstudio.ai/)
-- [PromptInject](https://github.com/agencyenterprise/PromptInject)
+- [ThoughtSource](https://github.com/OpenBioLink/ThoughtSource)
+- [Visual Prompt Builder](https://tools.saxifrage.xyz/prompt)
 
 ## Datasets
-- [PartiPrompts](https://parti.research.google/)
-- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)
+#### (Sorted by Name)
+
+- [Anthropic's Red Team dataset](https://github.com/anthropics/hh-rlhf/tree/master/red-team-attempts), [(paper)](https://arxiv.org/abs/2209.07858)
+- [Awesome ChatGPT Prompts](https://huggingface.co/datasets/fka/awesome-chatgpt-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)
+- [P3 - Public Pool of Prompts](https://huggingface.co/datasets/bigscience/P3)
+- [PartiPrompts](https://parti.research.google/)
+- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)
 - [Stable Diffusion Dataset](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts)
-- [Anthropic's Red Team dataset](https://github.com/anthropics/hh-rlhf/tree/master/red-team-attempts), [(paper)](https://arxiv.org/abs/2209.07858)
+- [WritingPrompts](https://www.reddit.com/r/WritingPrompts/)
 
 ## Blog, Guides, Tutorials and Other Readings
-- [Prompt injection to read out the secret OpenAI API key](https://twitter.com/ludwig_stumpp/status/1619701277419794435?s=20&t=GtoMlmYCSt-UmvjqJVbBSA)
-- [The ChatGPT Prompt Book](https://docs.google.com/presentation/d/17b_ocq-GL5lhV_bYSShzUgxL02mtWDoiw9xEroJ5m3Q/edit#slide=id.gc6f83aa91_0_79)
-- [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)
-- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1/)
-- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering/)
+#### (Sorted by Name)
+
+- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately/)
+- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
+- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering/)
+- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
+- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
+- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
+- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts/)
 - [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
-- [Exploring Prompt Injection Attacks](Exploring Prompt Injection Attacks)
-- [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/)
+- [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64)
 - [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/)
-- [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng)
-- [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/)
+- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book/)
+- [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185)
+- [Exploring Prompt Injection Attacks](Exploring Prompt Injection Attacks)
 - [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)
+- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1/)
 - [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)
+- [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts)
 - [How to Draw Anything](https://andys.page/posts/how-to-draw/)
-- [How to write good prompts](https://andymatuschak.org/prompts/)
-- [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185)
-- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp/)
-- [Simulators](https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators)
 - [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/)
-- [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking)
-- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
-- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts/)
-- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
+- [How to write good prompts](https://andymatuschak.org/prompts/)
+- [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares)
+- [Learn Prompting](https://learnprompting.org/)
 - [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming/)
+- [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse)
+- [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)
+- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
+- [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 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)
 - [Prompt Engineering 101](https://humanloop.com/blog/prompt-engineering-101)
+- [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering)
+- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering/)
+- [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/)
+- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts/)
+- [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3/)
+- [Prompt Engineering Template](https://docs.google.com/spreadsheets/d/1-snKDn38-KypoYCk9XLPg799bHcNFSBAVu2HVvFEAkA/edit#gid=0)
+- [Prompt Engineering Topic by GitHub](https://github.com/topics/prompt-engineering)
+- [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering)
+- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection/)
+- [Prompt injection to read out the secret OpenAI API key](https://twitter.com/ludwig_stumpp/status/1619701277419794435?s=20&t=GtoMlmYCSt-UmvjqJVbBSA)
+- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp/)
+- [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming)
+- [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng)
+- [Simulators](https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators)
+- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)
+- [Talking to machines: prompt engineering & injection](https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection/)
 - [the Book - Fed Honeypot](https://fedhoneypot.notion.site/25fdbdb69e9e44c6877d79e18336fe05?v=1d2bf4143680451986fd2836a04afbf4)
-- [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64)
+- [The ChatGPT Prompt Book](https://docs.google.com/presentation/d/17b_ocq-GL5lhV_bYSShzUgxL02mtWDoiw9xEroJ5m3Q/edit#slide=id.gc6f83aa91_0_79)
+- [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking)
+
 
 # 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)