maresen
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- Sep 17, 2017
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The Prompt Engineering Guide is a comprehensive collection of resources related to the field of prompt engineering in natural language processing (NLP). It includes papers, tools and libraries, datasets, and blog posts, guides, and tutorials on the topic.
Prompt engineering refers to the practice of designing and creating prompts for language models, which are machine learning models that are trained to process and generate natural language text. Prompts are inputs that are provided to language models to guide their output, and can be used to direct the model to produce specific types of content or perform specific tasks.
The guide includes a range of materials on different aspects of prompt engineering, including surveys and overviews of the field, papers on specific approaches and techniques, and collections of resources. It also includes a list of tools and libraries for working with prompts, as well as datasets that can be used for training and evaluating language models. Finally, the guide includes a selection of blog posts, guides, and tutorials on prompt engineering, as well as other readings that provide further information on the topic.
https://github.com/dair-ai/Prompt-Engineering-Guide
Prompt engineering refers to the practice of designing and creating prompts for language models, which are machine learning models that are trained to process and generate natural language text. Prompts are inputs that are provided to language models to guide their output, and can be used to direct the model to produce specific types of content or perform specific tasks.
The guide includes a range of materials on different aspects of prompt engineering, including surveys and overviews of the field, papers on specific approaches and techniques, and collections of resources. It also includes a list of tools and libraries for working with prompts, as well as datasets that can be used for training and evaluating language models. Finally, the guide includes a selection of blog posts, guides, and tutorials on prompt engineering, as well as other readings that provide further information on the topic.
https://github.com/dair-ai/Prompt-Engineering-Guide
