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@ -23,10 +23,12 @@ Table of Contents
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- Approaches/Techniques:
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- [Ask Me Anything: A simple strategy for prompting language models](https://paperswithcode.com/paper/ask-me-anything-a-simple-strategy-for)
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- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)
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- [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://arxiv.org/abs/2010.15980)
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- [Large Language Models Are Human-Level Prompt Engineers](https://sites.google.com/view/automatic-prompt-engineer?pli=1)
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- [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830)
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- [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755)
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- [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://www.arxiv-vanity.com/papers/2102.07350/)
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- [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566)
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- Collections:
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- [Papers with Code](https://paperswithcode.com/task/prompt-engineering)
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- [Prompt Papers](https://github.com/thunlp/PromptPapers#papers)
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@ -62,6 +64,7 @@ Table of Contents
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- [Start with an Instruction](https://beta.openai.com/docs/quickstart/start-with-an-instruction)
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- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book/)
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- [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
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- [Prompt injection attacks against GPT-3](https://simonwillison.net/2022/Sep/12/prompt-injection/)
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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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- [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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