# Zusatzlektüre #### (Sortiert nach Namen) - [2023 AI Index Report](https://aiindex.stanford.edu/report/) - [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately) - [Eight Things to Know about Large Language Models](https://arxiv.org/pdf/2304.00612v1.pdf) - [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) - [An SEO’s guide to ChatGPT prompts](https://searchengineland.com/chatgpt-prompts-seo-393523) - [Anyone can Design! With a little help from Generative AI](https://github.com/YashSharma/PromptEngineering) - [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine) - [AI's rise generates new job title: Prompt engineer](https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job) - [AI Safety, RLHF, and Self-Supervision - Jared Kaplan | Stanford MLSys #79](https://www.youtube.com/watch?v=fqC3D-zNJUM&ab_channel=StanfordMLSysSeminars) - [Awesome Textual Instruction Learning Papers](https://github.com/RenzeLou/awesome-instruction-learning) - [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) - [Building GPT-3 applications — beyond the prompt](https://medium.com/data-science-at-microsoft/building-gpt-3-applications-beyond-the-prompt-504140835560) - [Can AI really be protected from text-based attacks?](https://techcrunch.com/2023/02/24/can-language-models-really-be-protected-from-text-based-attacks/) - [ChatGPT, AI and GPT-3 Apps and use cases](https://gpt3demo.com) - [ChatGPT Prompts](https://twitter.com/aaditsh/status/1636398208648658945?s=20) - [ChatGPT Plugins Collection ⭐️ (unofficial)](https://github.com/logankilpatrick/ChatGPT-Plugins-Collection) - [ChatGPT3 Prompt Engineering](https://github.com/mattnigh/ChatGPT3-Free-Prompt-List) - [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares) - [Common Sense as Dark Matter - Yejin Choi | Stanford MLSys #78](https://youtube.com/live/n4HakBqoCVg?feature=shares) - [Create images with your words – Bing Image Creator comes to the new Bing](https://blogs.microsoft.com/blog/2023/03/21/create-images-with-your-words-bing-image-creator-comes-to-the-new-bing/) - [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64) - [CS324 - Large Language Models](https://stanford-cs324.github.io/winter2022/) - [CS 324 - Advances in Foundation Models](https://stanford-cs324.github.io/winter2023/) - [CS224N: Natural Language Processing with Deep Learning](https://web.stanford.edu/class/cs224n/) - [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#) - [DALL·E 2 Preview - Risks and Limitations](https://github.com/openai/dalle-2-preview/blob/main/system-card.md) - [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book) - [DALL-E, Make Me Another Picasso, Please](https://www.newyorker.com/magazine/2022/07/11/dall-e-make-me-another-picasso-please?) - [Diffusion Models: A Practical Guide](https://scale.com/guides/diffusion-models-guide) - [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185) - [Exploring Prompt Injection Attacks](https://research.nccgroup.com/2022/12/05/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) - [FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering](https://arxiv.org/pdf/2303.10699.pdf) - [Generative AI with Cohere: Part 1 - Model Prompting](https://txt.cohere.ai/generative-ai-part-1) - [Generative AI: Perspectives from Stanford HAI](https://hai.stanford.edu/sites/default/files/2023-03/Generative_AI_HAI_Perspectives.pdf) - [Get a Load of This New Job: "Prompt Engineers" Who Act as Psychologists to AI Chatbots](https://futurism.com/prompt-engineers-ai) - [Giving GPT-3 a Turing Test](https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html) - [GPT-3 & Beyond](https://youtube.com/watch?v=-lnHHWRCDGk) - [GPT3 and Prompts: A quick primer](https://buildspace.so/notes/intro-to-gpt3-prompts) - [GPT-4 Tutorial: How to Chat With Multiple PDF Files (~1000 pages of Tesla's 10-K Annual Reports)](https://youtu.be/Ix9WIZpArm0) - [Hands-on with Bing’s new ChatGPT-like features](https://techcrunch.com/2023/02/08/hands-on-with-the-new-bing/) - [How to Draw Anything](https://andys.page/posts/how-to-draw) - [How to get images that don't suck](https://www.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a) - [How to make LLMs say true things](https://evanjconrad.com/posts/world-models) - [How to perfect your prompt writing for AI generators](https://www.sydney.edu.au/news-opinion/news/2023/02/28/how-to-perfect-your-prompt-writing-for-ai-generators.html) - [How to write good prompts](https://andymatuschak.org/prompts) - [If I Was Starting Prompt Engineering in 2023: My 8 Insider Tips](https://youtube.com/watch?v=SirW7feTjh0&feature=shares) - [Indirect Prompt Injection on Bing Chat](https://greshake.github.io/) - [Interactive guide to GPT-3 prompt parameters](https://sevazhidkov.com/interactive-guide-to-gpt-3-prompt-parameters) - [Introduction to ChatGPT](https://www.edx.org/course/introduction-to-chatgpt) - [Introduction to Reinforcement Learning with Human Feedback](https://www.surgehq.ai/blog/introduction-to-reinforcement-learning-with-human-feedback-rlhf-series-part-1) - [In defense of prompt engineering](https://simonwillison.net/2023/Feb/21/in-defense-of-prompt-engineering/) - [JailBreaking ChatGPT: Everything You Need to Know](https://metaroids.com/learn/jailbreaking-chatgpt-everything-you-need-to-know/) - [Long Context Prompting for Claude 2.1](https://www.anthropic.com/news/claude-2-1-prompting) - [Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP](https://youtube.com/watch?v=OsbUfL8w-mo&feature=shares) - [Language Model Behavior: A Comprehensive Survey](https://arxiv.org/abs/2303.11504) - [Learn Prompting](https://learnprompting.org) - [Learning Prompt](https://github.com/thinkingjimmy/Learning-Prompt) - [LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity](https://arxiv.org/abs/2304.06184) - [Make PowerPoint presentations with ChatGPT](https://www.reddit.com/r/AIAssisted/comments/13xf8pq/make_powerpoint_presentations_with_chatgpt/) - [Meet Claude: Anthropic’s Rival to ChatGPT](https://scale.com/blog/chatgpt-vs-claude) - [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) - [NLP with Deep Learning CS224N/Ling284 - Lecture 11: Prompting, Instruction Tuning, and RLHF](http://web.stanford.edu/class/cs224n/slides/cs224n-2023-lecture11-prompting-rlhf.pdf) - [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes) - [On pitfalls (and advantages) of sophisticated large language models](https://arxiv.org/abs/2303.17511) - [OpenAI Cookbook](https://github.com/openai/openai-cookbook) - [OpenAI Prompt Examples for several applications](https://platform.openai.com/examples) - [Pretrain, Prompt, Predict - A New Paradigm for NLP](http://pretrain.nlpedia.ai) - [Prompt Engineer: Tech's hottest job title?](https://www.peoplematters.in/article/talent-management/is-prompt-engineering-the-hottest-job-in-ai-today-37036) - [Prompt Engineering by Lilian Weng](https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/) - [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain) - [Prompt Engineering 201: Advanced prompt engineering and toolkits](https://amatriain.net/blog/prompt201) - [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 - A new profession ?](https://www.youtube.com/watch?v=w102J3_9Bcs&ab_channel=PatrickDebois) - [Prompt Engineering by co:here](https://docs.cohere.ai/docs/prompt-engineering) - [Prompt Engineering by Microsoft](https://microsoft.github.io/prompt-engineering) - [Prompt Engineering: The Career of Future](https://shubhamsaboo111.medium.com/prompt-engineering-the-career-of-future-2fb93f90f117) - [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: The Ultimate Guide 2023 [GPT-3 & ChatGPT]](https://businessolution.org/prompt-engineering/) - [Prompt Engineering: From Words to Art](https://www.saxifrage.xyz/post/prompt-engineering) - [Prompt Engineering with OpenAI's GPT-3 and other LLMs](https://youtube.com/watch?v=BP9fi_0XTlw&feature=shares) - [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: Better Ways of Using Language Models for NLP Tasks](https://thegradient.pub/prompting/) - [Prompting for Few-shot Learning](https://www.cs.princeton.edu/courses/archive/fall22/cos597G/lectures/lec05.pdf) - [Prompting in NLP: Prompt-based zero-shot learning](https://savasy-22028.medium.com/prompting-in-nlp-prompt-based-zero-shot-learning-3f34bfdb2b72) - [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) - [Prompts for communicators using the new AI-powered Bing](https://blogs.microsoft.com/blog/2023/03/16/prompts-for-communicators-using-the-new-ai-powered-bing/) - [Reverse Prompt Engineering for Fun and (no) Profit](https://lspace.swyx.io/p/reverse-prompt-eng) - [Retrieving Multimodal Information for Augmented Generation: A Survey](https://arxiv.org/pdf/2303.10868.pdf) - [So you want to be a prompt engineer: Critical careers of the future](https://venturebeat.com/ai/so-you-want-to-be-a-prompt-engineer-critical-careers-of-the-future/) - [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) - [Tech’s hottest new job: AI whisperer. No coding required](https://www.washingtonpost.com/technology/2023/02/25/prompt-engineers-techs-next-big-job/) - [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 list of lists: A collection of 3000+ prompts, examples, use-cases, tools, APIs, extensions, fails and other resources](https://medium.com/mlearning-ai/the-chatgpt-list-of-lists-a-collection-of-1500-useful-mind-blowing-and-strange-use-cases-8b14c35eb) - [The Most Important Job Skill of This Century](https://www.theatlantic.com/technology/archive/2023/02/openai-text-models-google-search-engine-bard-chatbot-chatgpt-prompt-writing/672991/) - [The Mirror of Language](https://deepfates.com/the-mirror-of-language) - [The Waluigi Effect (mega-post)](https://www.lesswrong.com/posts/D7PumeYTDPfBTp3i7/the-waluigi-effect-mega-post) - [Thoughts and impressions of AI-assisted search from Bing](https://simonwillison.net/2023/Feb/24/impressions-of-bing/) - [Unleash Your Creativity with Generative AI: Learn How to Build Innovative Products!](https://youtube.com/watch?v=jqTkMpziGBU&feature=shares) - [Unlocking Creativity with Prompt Engineering](https://youtube.com/watch?v=PFsbWAC4_rk&feature=shares) - [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking) - [What Is ChatGPT Doing … and Why Does It Work?](https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/) - [Why is ChatGPT so good?](https://scale.com/blog/chatgpt-reinforcement-learning) - [【徹底解説】これからのエンジニアの必携スキル、プロンプトエンジニアリングの手引「Prompt Engineering Guide」を読んでまとめてみた](https://dev.classmethod.jp/articles/how-to-design-prompt-engineering/)