What are the main steps in the prompt engineering workflow?

The prompt engineering workflow involves several key steps to ensure the successful generation of prompts for artificial intelligence systems. The first step is to define the problem, understanding the specific task or objective the AI system needs to accomplish. Next, is data collection, where relevant and diverse datasets are gathered to train the models. Preprocessing the data follows, which includes cleaning and organizing the data, as well as ensuring its quality and compatibility. The fourth step is model selection, where the appropriate algorithms and models are chosen based on the problem and available resources. Once the model is selected, it undergoes training, where it learns patterns and relationships from the provided data. Evaluation of the model's performance is then conducted through various metrics and tests. Finally, the prompts are generated based on the trained model and fine-tuned to optimize their effectiveness. The workflow concludes with deploying the prompts to the AI system for real-world application.
This mind map was published on 2 August 2023 and has been viewed 64 times.

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