Discover how transformer architectures are revolutionizing computer vision and multimodal AI, and explore the latest advancements toward general artificial intelligence. Learn to apply transformers to image, video, and cross-modal tasks.
This course explores the expanding frontier of transformer models beyond natural language, focusing on their applications in computer vision, multimodal AI, and generative ideation. Learners will investigate vision transformers, text-to-image and text-to-video generation, and the integration of multiple AI models for advanced tasks. The course also addresses risk mitigation in large models and looks ahead to the future of AI with functional AGI and creative generative systems. By the end, you will understand how to harness transformers for cutting-edge vision and multimodal applications. With a focus on emerging trends and practical implementations, this course guides learners through the latest research and real-world use cases in vision and multimodal AI. Concepts are introduced progressively, enabling learners to build expertise in applying transformers across diverse domains. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Transformers for Natural Language Processing and Computer Vision, by Denis Rothman. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
