add a few entries, unify URL format
小臣子吃大橙子
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README.md
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README.md
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@ -19,6 +19,7 @@ This guide contains a set of papers, learning guides, and tools related to promp
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- Surveys / Overviews:
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- Surveys / Overviews:
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- [A Survey for In-context Learning](https://arxiv.org/abs/2301.00234) (Dec 2022)
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- [A Survey for In-context Learning](https://arxiv.org/abs/2301.00234) (Dec 2022)
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- [Towards Reasoning in Large Language Models: A Survey](https://arxiv.org/abs/2212.10403) (Dec 2022)
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- [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682) (Jun 2022)
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- [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682) (Jun 2022)
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- [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) (Apr 2022)
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- [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) (Apr 2022)
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- [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) (Jul 2021)
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- [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) (Jul 2021)
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@ -60,9 +61,9 @@ This guide contains a set of papers, learning guides, and tools related to promp
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- [Generated Knowledge Prompting for Commonsense Reasoning](https://arxiv.org/abs/2110.08387) (Oct 2021)
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- [Generated Knowledge Prompting for Commonsense Reasoning](https://arxiv.org/abs/2110.08387) (Oct 2021)
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- [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830) (Sep 2021)
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- [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830) (Sep 2021)
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- [Design Guidelines for Prompt Engineering Text-to-Image Generative Models](https://arxiv.org/abs/2109.06977) (Sep 2021)
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- [Design Guidelines for Prompt Engineering Text-to-Image Generative Models](https://arxiv.org/abs/2109.06977) (Sep 2021)
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- [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295/) (Aug 2021)
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- [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295) (Aug 2021)
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- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786) (April 2021)
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- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786) (April 2021)
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- [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316/) (April 2021)
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- [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316) (April 2021)
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- [The Power of Scale for Parameter-Efficient Prompt Tuning](https://arxiv.org/abs/2104.08691) (April 2021)
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- [The Power of Scale for Parameter-Efficient Prompt Tuning](https://arxiv.org/abs/2104.08691) (April 2021)
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- [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/abs/2102.07350) (Feb 2021)
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- [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/abs/2102.07350) (Feb 2021)
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- [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://arxiv.org/abs/2102.09690) (Feb 2021)
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- [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://arxiv.org/abs/2102.09690) (Feb 2021)
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@ -76,7 +77,7 @@ This guide contains a set of papers, learning guides, and tools related to promp
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- [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462) (Nov 2022)
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- [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462) (Nov 2022)
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- [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) (Oct 2022)
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- [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) (Oct 2022)
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- [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) (Oct 2022)
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- [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) (Oct 2022)
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- [Plot Writing From Scratch Pre-Trained Language Models](https://aclanthology.org/2022.inlg-main.5/) (July 2022)
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- [Plot Writing From Scratch Pre-Trained Language Models](https://aclanthology.org/2022.inlg-main.5) (July 2022)
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- Collections:
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- Collections:
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- [Chain-of-ThoughtsPapers](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers)
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- [Chain-of-ThoughtsPapers](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers)
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@ -86,32 +87,32 @@ This guide contains a set of papers, learning guides, and tools related to promp
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## Tools & Libraries
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## Tools & Libraries
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#### (Sorted by Name)
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#### (Sorted by Name)
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- [AI Test Kitchen](https://aitestkitchen.withgoogle.com/)
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- [AI Test Kitchen](https://aitestkitchen.withgoogle.com)
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- [betterprompt](https://github.com/krrishdholakia/betterprompt)
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- [betterprompt](https://github.com/krrishdholakia/betterprompt)
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- [DreamStudio](https://beta.dreamstudio.ai/)
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- [DreamStudio](https://beta.dreamstudio.ai)
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- [DUST](https://dust.tt/)
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- [DUST](https://dust.tt)
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- [Dyno](https://trydyno.com/)
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- [Dyno](https://trydyno.com)
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- [EveryPrompt](https://www.everyprompt.com/)
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- [EveryPrompt](https://www.everyprompt.com)
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- [GPT Index](https://github.com/jerryjliu/gpt_index)
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- [GPT Index](https://github.com/jerryjliu/gpt_index)
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- [GPTTools](https://gpttools.com/comparisontool)
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- [GPTTools](https://gpttools.com/comparisontool)
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- [hwchase17/adversarial-prompts](https://github.com/hwchase17/adversarial-prompts)
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- [hwchase17/adversarial-prompts](https://github.com/hwchase17/adversarial-prompts)
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- [Interactive Composition Explorer](https://github.com/oughtinc/ice)
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- [Interactive Composition Explorer](https://github.com/oughtinc/ice)
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- [LangChain](https://github.com/hwchase17/langchain)
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- [LangChain](https://github.com/hwchase17/langchain)
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- [LearnGPT](https://www.learngpt.com/)
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- [LearnGPT](https://www.learngpt.com)
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- [Lexica](https://lexica.art/)
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- [Lexica](https://lexica.art)
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- [Metaprompt](https://metaprompt.vercel.app/?task=gpt)
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- [Metaprompt](https://metaprompt.vercel.app/?task=gpt)
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- [OpenAI Playground](https://beta.openai.com/playground)
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- [OpenAI Playground](https://beta.openai.com/playground)
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- [OpenPrompt](https://github.com/thunlp/OpenPrompt)
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- [OpenPrompt](https://github.com/thunlp/OpenPrompt)
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- [Playground](https://playgroundai.com/)
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- [Playground](https://playgroundai.com)
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- [Prompt Base](https://promptbase.com/)
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- [Prompt Base](https://promptbase.com)
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- [Prompt Engine](https://github.com/microsoft/prompt-engine)
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- [Prompt Engine](https://github.com/microsoft/prompt-engine)
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- [Prompt Generator for OpenAI's DALL-E 2](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/)
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- [Prompt Generator for OpenAI's DALL-E 2](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com)
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- [Promptable](https://promptable.ai/)
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- [Promptable](https://promptable.ai)
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- [PromptInject](https://github.com/agencyenterprise/PromptInject)
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- [PromptInject](https://github.com/agencyenterprise/PromptInject)
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- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)
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- [Prompts.ai](https://github.com/sevazhidkov/prompts-ai)
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- [PromptSource](https://github.com/bigscience-workshop/promptsource)
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- [PromptSource](https://github.com/bigscience-workshop/promptsource)
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- [Scale SpellBook](https://scale.com/spellbook)
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- [Scale SpellBook](https://scale.com/spellbook)
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- [sharegpt](https://sharegpt.com/)
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- [sharegpt](https://sharegpt.com)
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- [ThoughtSource](https://github.com/OpenBioLink/ThoughtSource)
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- [ThoughtSource](https://github.com/OpenBioLink/ThoughtSource)
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- [Visual Prompt Builder](https://tools.saxifrage.xyz/prompt)
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- [Visual Prompt Builder](https://tools.saxifrage.xyz/prompt)
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- [DiffusionDB](https://github.com/poloclub/diffusiondb)
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- [DiffusionDB](https://github.com/poloclub/diffusiondb)
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- [Midjourney Prompts](https://huggingface.co/datasets/succinctly/midjourney-prompts)
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- [Midjourney Prompts](https://huggingface.co/datasets/succinctly/midjourney-prompts)
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- [P3 - Public Pool of Prompts](https://huggingface.co/datasets/bigscience/P3)
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- [P3 - Public Pool of Prompts](https://huggingface.co/datasets/bigscience/P3)
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- [PartiPrompts](https://parti.research.google/)
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- [PartiPrompts](https://parti.research.google)
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- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)
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- [Real Toxicity Prompts](https://allenai.org/data/real-toxicity-prompts)
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- [Stable Diffusion Dataset](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts)
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- [Stable Diffusion Dataset](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts)
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- [WritingPrompts](https://www.reddit.com/r/WritingPrompts/)
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- [WritingPrompts](https://www.reddit.com/r/WritingPrompts)
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## Blog, Guides, Tutorials and Other Readings
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## Blog, Guides, Tutorials and Other Readings
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#### (Sorted by Name)
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#### (Sorted by Name)
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- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately/)
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- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately)
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- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
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- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
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- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering/)
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- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering)
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- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
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- [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
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- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
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- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
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- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
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- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
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- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts/)
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- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts)
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- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
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- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
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- [ChatGPT, AI and GPT-3 Apps and use cases](https://gpt3demo.com)
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- [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares)
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- [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares)
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- [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64)
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- [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64)
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- [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
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- [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
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- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book/)
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- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book)
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- [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185)
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- [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185)
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- [Exploring Prompt Injection Attacks](Exploring Prompt Injection Attacks)
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- [Exploring Prompt Injection Attacks](https://research.nccgroup.com/2022/12/05/exploring-prompt-injection-attacks)
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- [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/)
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- [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)
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- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1/)
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- [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1)
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- [Giving GPT-3 a Turing Test](https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html)
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- [Giving GPT-3 a Turing Test](https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html)
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- [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts)
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- [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts)
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- [How to Draw Anything](https://andys.page/posts/how-to-draw/)
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- [How to Draw Anything](https://andys.page/posts/how-to-draw)
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- [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a/)
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- [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a)
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- [How to write good prompts](https://andymatuschak.org/prompts/)
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- [How to write good prompts](https://andymatuschak.org/prompts)
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- [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares)
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- [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares)
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- [Learn Prompting](https://learnprompting.org/)
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- [Learn Prompting](https://learnprompting.org)
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- [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming/)
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- [Methods of prompt programming](https://generative.ink/posts/methods-of-prompt-programming)
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- [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse)
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- [Mysteries of mode collapse](https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse)
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- [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)
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- [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)
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- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
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- [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
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- [Pretrain, Prompt, Predict - A New Paradigm for NLP](http://pretrain.nlpedia.ai/)
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- [Pretrain, Prompt, Predict - A New Paradigm for NLP](http://pretrain.nlpedia.ai)
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- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain/)
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- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain)
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- [Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)
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- [Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)
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- [Prompt Engineering 101](https://humanloop.com/blog/prompt-engineering-101)
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- [Prompt Engineering 101](https://humanloop.com/blog/prompt-engineering-101)
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- [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering)
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- [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering)
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- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering/)
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- [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering)
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- [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/)
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- [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)
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- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts/)
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- [Prompt Engineering Guide: How to Engineer the Perfect Prompts](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts)
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- [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3/)
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- [Prompt Engineering in GPT-3](https://www.analyticsvidhya.com/blog/2022/05/prompt-engineering-in-gpt-3)
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- [Prompt Engineering Template](https://docs.google.com/spreadsheets/d/1-snKDn38-KypoYCk9XLPg799bHcNFSBAVu2HVvFEAkA/edit#gid=0)
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- [Prompt Engineering Template](https://docs.google.com/spreadsheets/d/1-snKDn38-KypoYCk9XLPg799bHcNFSBAVu2HVvFEAkA/edit#gid=0)
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- [Prompt Engineering Topic by GitHub](https://github.com/topics/prompt-engineering)
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- [Prompt Engineering Topic by GitHub](https://github.com/topics/prompt-engineering)
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- [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering)
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- [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering)
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- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection/)
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- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection)
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- [Prompt injection to read out the secret OpenAI API key](https://twitter.com/ludwig_stumpp/status/1619701277419794435?s=20&t=GtoMlmYCSt-UmvjqJVbBSA)
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- [Prompt injection to read out the secret OpenAI API key](https://twitter.com/ludwig_stumpp/status/1619701277419794435?s=20&t=GtoMlmYCSt-UmvjqJVbBSA)
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- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp/)
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- [Prompting Methods with Language Models and Their Applications to Weak Supervision](https://snorkel.ai/prompting-methods-with-language-models-nlp)
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- [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming)
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- [Prompts as Programming by Gwern](https://www.gwern.net/GPT-3#prompts-as-programming)
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- [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng)
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- [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng)
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- [Simulators](https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators)
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- [Simulators](https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators)
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- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)
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- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)
|
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- [Talking to machines: prompt engineering & injection](https://artifact-research.com/artificial-intelligence/talking-to-machines-prompt-engineering-injection/)
|
- [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)
|
- [the Book - Fed Honeypot](https://fedhoneypot.notion.site/25fdbdb69e9e44c6877d79e18336fe05?v=1d2bf4143680451986fd2836a04afbf4)
|
||||||
- [The ChatGPT Prompt Book](https://docs.google.com/presentation/d/17b_ocq-GL5lhV_bYSShzUgxL02mtWDoiw9xEroJ5m3Q/edit#slide=id.gc6f83aa91_0_79)
|
- [The ChatGPT Prompt Book](https://docs.google.com/presentation/d/17b_ocq-GL5lhV_bYSShzUgxL02mtWDoiw9xEroJ5m3Q/edit#slide=id.gc6f83aa91_0_79)
|
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- [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking)
|
- [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking)
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# Lecture + Tutorial
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# Lecture + Tutorial
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Full tutorial and lecture coming soon!
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Full tutorial and lecture coming soon!
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Loading…
Reference in New Issue