Summary

In this chapter, you have learned the basics of time series data and how to apply transformers to them. Transformers can be applied to time series data, ranging from modeling the data to predicting the next value in time. However, it is important to also note that, based on the data, transformers can be a great choice because they can deal with unknown values in time series that most models are not capable of doing.

Through this book, you learned how to apply transformers to different tasks, including NLP, computer vision, times series, and multimodal tasks. You also learned how to deploy them, how to create inference services, how large language models work, and how you can get the best out of them. Transformers have dominated the AI industry so far, better than any other architecture. Generative AI (GenAI) is also one of the fascinating, fast-growing AI features that have been adopted by the industry and community so quickly. You also learned many aspects of it and grasped...