Key Features
- Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT
- Master embedding techniques and machine learning principles for real-world applications
- Understand the mathematical foundations of NLP and deep learning designs
- Purchase of the print or Kindle book includes a free PDF eBook
Who this book is for
This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.