Applied Natural Language Processing in the Enterprise Teaching Machines to Read, Write, and Understand (Ankur A. Patel, Ajay Uppili Arasanipalai) (Z-Library)

Author： Ankur A. Patel, Ajay Uppili Arasanipalai

NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. • Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension • Train NLP models with performance comparable or superior to that of out-of-the-box systems

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Whole-book reading guide from stratified index samples; jump to passages in the text

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