Natural Language Processing with Transformers

Read these free chapters from a popular book published recently by O'Reilly (and sponsored by deepset) on the real-life applications of the Transformer language models.

Learn about the Transformer models architecture (encoder, decoder, self-attention and more). Understand different branches of Transformers and various use cases where these models shine. Master the concepts of the retriever-reader question answering architecture. Build a functional, use-case-driven QA system based on the retriever-reader architecture using Haystack NLP open source framework. Learn about QA system evaluation, domain adaption, fine-tuning, and more.