This podcast explores the critical role of data processing in training modern multimodal models, focusing on diffusion models like Stable Diffusion and Multimodal Large Language Models (MLLMs). We break down the techniques used to ensure data quality, balance data distribution, and enhance data safety, highlighting the importance of these steps in developing robust and ethical AI models.