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@ -171,6 +171,7 @@ The following are a set of guides on prompt engineering developed by us. Guides
- [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64) - [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#) - [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
- [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book) - [DALLE Prompt Book](https://dallery.gallery/the-dalle-2-prompt-book)
- [Diffusion Models: A Practical Guide](https://scale.com/guides/diffusion-models-guide)
- [Exploiting GPT-3 Prompts](https://twitter.com/goodside/status/1569128808308957185) - [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) - [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) - [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)