LLM data preparation refers to the process of collecting, cleaning, and formatting data to train and fine-tune large language models (LLMs). As LLMs become increasingly crucial for startups and businesses to develop AI-powered applications, preparing high-quality data is essential to achieve accurate and reliable model performance, making LLM data preparation a critical step in the development of AI-driven solutions.