Future of Multimodal AI

The future of AI is multimodal. In this session, you will learn about a variety of multimodal use cases. You will also explore the importance of large context windows for effective reasoning over multi-modalities and learn how caching mechanisms can enhance performance. The talk covers practical applications of multimodal AI, including extracting information from receipts, real-time currency conversion, and querying long video content. It also delves into advanced techniques like document prompting for low-resource languages and the optimization benefits of context caching for large prompts.