In this set of courses, you'll get an Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI courses.
In this course, you'll get a synopsis of a powerful and prevalent machine-learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question-answering.
In this course, you'll learn how attention works and improving the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.
In this course, you'll learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.
In this course, you'll learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model.