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Prompt-Engineering-Guide
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Elvis Saravia 2023-01-23 18:01:50 -06:00 committed by GitHub
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@ -33,7 +33,7 @@ This guide contains a set of learning guides and tools related to prompt enginee
- [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316/)
- [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786)
- [Large Language Models are Zero-Shot Reasoners](https://arxiv.org/abs/2205.11916)
- [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)7
- [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)
- [Show Your Work: Scratchpads for Intermediate Computation with Language Models](https://arxiv.org/abs/2112.00114)
- [Structured Prompting: Scaling In-Context Learning to 1,000 Examples](https://arxiv.org/abs/2212.06713)
- [Chain of Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903)