O’Reilly Media, 2022. — 202 p. — ISBN13: 978-1-098-11362-9. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has...
Apress Media LLC., 2021. — 261 p. — ISBN-13 (electronic): 978-1-4842-6246-7. Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
O’Reilly Media, Inc., 2022. — 417 p. — ISBN: 978-1-098-10324-8. • 2022-01-26: First Release Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples,...
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