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Prompt engineering is the process of designing and refining input queries to gen AI models, like OpenAI's GPT variants, for achieving desired output. It involves optimizing the phrasing, context, and structure of prompts to improve the AI's understanding while maintaining high-quality & creative results that cater to specific app requirements.
In this repository i performed initially some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e simple linear regression on real life data in order to make a machine learning regression model.