Prompt Engineering is a relatively new discipline for developing and optimizing prompts to efficiently utilize language models (LMs) for application on a variety of application and research topics. Tips engineering skills help better understand the abilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve LLMs' ability on a wide range of common and complex tasks such as question and answer and arithmetic reasoning. Developers use prompt engineering to design powerful and effective prompt technology to interact with LLMs and other tools.
Driven by the high interest in developing LLMs, we created this new Tips Engineering Guide that contains all the latest papers, study guides, lectures, references and tools related to Tips Engineering.
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We gave a 1-hour lecture detailing tips, applications and tools.
If you are working with this guide, please refer to us as follows:
@article{Saravia_Prompt_Engineering_Guide_2022,
author = {Saravia, Elvis},
journal = {https://github.com/dair-ai/Prompt-Engineering-Guide},
month = {12},
title = {{Prompt Engineering Guide}},
year = {2022}
}
If there are any missing content, please open the PR. We highly welcome your feedback and suggestions, just ask questions!