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Prompt-Engineering-Guide
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Elvis Saravia 2023-01-06 18:06:08 -06:00 committed by GitHub
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@ -31,6 +31,7 @@ This guide contains a non-exhaustive set of learning guides and tools about prom
- [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830) - [Reframing Instructional Prompts to GPTk's Language](https://arxiv.org/abs/2109.07830)
- [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755) - [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755)
- [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://www.arxiv-vanity.com/papers/2102.07350/) - [Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://www.arxiv-vanity.com/papers/2102.07350/)
- [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988)
- [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566) - [PromptChainer: Chaining Large Language Model Prompts through Visual Programming](https://arxiv.org/abs/2203.06566)
- Collections: - Collections:
- [Papers with Code](https://paperswithcode.com/task/prompt-engineering) - [Papers with Code](https://paperswithcode.com/task/prompt-engineering)