This chapter discusses the abilities of multimodal generative AI. It combines text, images, audio, and video to create smart solutions for various generative AI applications. It starts with real-world examples, like an online store using text or images to suggest personalized products with relevance scores. The emphasis is on foundational models from Amazon Titan and Anthropic Claude. These generative AI systems can handle multiple modes, producing both text and images. You can also generate videos based on scripts and offer insights from different types of data. You will discover important ideas such as cross-modal attention and shared latent spaces. You will also look into advanced structures like transformers. This chapter covers how these concepts affect different areas, including ecommerce, healthcare, media, and education. It also addresses ethical issues like bias and the risks associated with deepfakes. Understanding the technical, practical, and ethical aspects of multimodal AI will equip you to innovate responsibly and explore new opportunities in AI applications.