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ChatGPT is a powerful tool that can be used across a wide range of applications. At RAW, we often find ourselves creating APIs that make use of it. So, to help you get started as well, we have created a comprehensive guide on how to create APIs that use prompt engineering with ChatGPT in RAW. This guide implements a scenario from the blog post, “Prompt Engineering with OpenAI GPT-3 API: A Real-World Example”. In it, Sung Kim uses a public dataset provided by the National Highway Traffic Safety Administration (NHTSA). We use it to build an API that is used to analyze and categorize complaint data.
The implementation uses prompt engineering, which is a powerful technique where by designing and refining prompts or instructions given to ChatGPT, we can improve its accuracy and relevance in generating desired outputs. This can be achieved by providing appropriate prompt messages that give context to the model and guide it to generate the desired output.
So, let’s get started! Take a look at the detailed step-by-step guide!