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Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

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Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

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Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

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For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

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Petar Dimov Jun 21, 2024

🎉 This comprehensive guide has proved itself to be an invaluable resource!💡 The book captivated me from the first chapter itself. It brilliantly paves the way for everyone from budding learners to industry veterans in the space of NLP and LLMs, and its concise yet comprehensive coverage aligns perfectly with the needs of a wide array of readers.🧠 Gazit and Ghaffari have meticulously crafted this book as a powerful compendium of knowledge. They have intelligently structured the content to segue from fundamental understanding of topics like linear algebra, probability, and statistics to more advanced ML techniques, making it an essential manual of NLP-related learnings.✏️ What sets this book apart is not merely the actionable insight it provides, but how it beautifully combines these insights with real-life applications. The transition from text pre-processing techniques to deep learning models, discussed from Chapter 4 through 6, is skillfully supplemented with Python-based case studies, creating a truly immersive learning experience.🛠 For those fascinated by Large Language Models (LLMs), Chapters 7 to 9 delve into everything from theory and design to sophisticated applications like prompt engineering and RAGs, all of which are brought to life through practical code implementations.🧩 The final chapters (10 and 11) critically analyse the current trends influenced by AI and LLMs, while also making well-researched predictions about the future of this industry, preparing readers to stay ahead of the curve.✨ In summary, "Mastering NLP from Foundations to LLMs" is more than just a book; it is a well-rounded guide for anyone keen to tap into the potential of NLP and LLMs. This guide offers an impressive mix of foundational theories, actionable insights, and future forecasts, all while ensuring reader-friendly delivery. Whether you're a beginner or a professional, this book is a brilliant tool to navigate the complex yet exciting world of AI and LLMs.

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Andrew May 26, 2024

As a business leader this is a good source for me to refer to. It simplifies complex NLP concepts and also provides practical Python examples to just run and play with.This book empowers leaders by letting better understand what actually happens which feeds into strategic decision-making and driving innovation.Ideally, this would help be competitive in an AI-driven market.

Ofir Harush May 21, 2024

As a cybersecurity student and a big fan of AI, NLP, and ML, I found this book very interesting and helpful for understanding the mathematics and science behind this incredible coding process. Even as a beginner in Python programming, there are many benefits to reading this book. I like that you can see examples and participate in parts of the code.Therefore, I highly recommend this book!

yael May 24, 2024

Mastering NLP is a comprehensive technical guide for NLP practitioners.It covers critical topics like linear algebra, probability, and statistics, and provides detailed methodologies for text preprocessing, classification, and LLM design.With practical Python code and industry insights, this book is an essential read for those looking to implement state-of-the-art NLP solutions.

Shai May 15, 2024

This book provides a valuable guide to expand your depth of LLMs and real life usage with AWS, and other cloud services. Recommended for anyone seeking a comprehensive resource that covers available options in this growing field.

Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

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