Summary
At Mindrift, I spent around one year training AI models specifically in the automotive engineering domain. During this time, I developed and refined my skills in creating precise and contextually accurate training data, which involved crafting prompts and generating corresponding responses. I also focused on the classification of data, creating summaries, and performing detailed data annotations. These tasks required a strong understanding of both the technical aspects of automotive systems and the nuances of natural language processing, enabling me to produce high-quality data that significantly improved the performance of AI models.