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Prompt engineering is the process of designing and optimizing prompts for use with AI chatbots that use natural language processing (NLP) models.
Prompt engineering involves creating and refining prompts that are effective at guiding an AI chatbot towards producing the desired output. This often involves designing prompts that are specific to the task at hand, using natural language that is appropriate for the context and the model's capabilities.
The goal of prompt engineering is to improve the performance and accuracy of NLP models by guiding them towards producing outputs that are more relevant, accurate, and useful. This is done by testing and refining prompts through experimentation and analysis of model performance, and continually improving the prompts over time as the model evolves and new data becomes available.
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