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Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems - Helion

Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems
ebook
Autor: Lior Gazit, Meysam Ghaffari
Tytuł oryginału: Mastering NLP from Foundations to LLMs. Applying Advanced Techniques from Rule-Based to LLMs for Solving Real World Business Problems
ISBN: 9781804616383
Format: ebook
Księgarnia: Helion

Cena książki: 149,00 zł

Książka będzie dostępna od października 2023

This book provides an in-depth introduction to natural language processing (NLP) techniques, starting with the mathematical foundations of machine learning and working up to advanced NLP applications such as Larg Language Models (LLMs) and AI applications. The second chapter covers linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. The third chapter delves into general machine learning techniques and relates them to NLP. The forth chapter covers preprocessing of text data, including methods for cleaning and preparing text for analysis. The fifth and sixth chapters covers text classification, which is the task of assigning a label or category to a piece of text based on its content. The seventh through ninth chapters discuss the advanced topics of LLMs’ theory, design, and applications. The tenth chapter looks ahead to future trends in NLP, and the eleventh chapter features expert opinions on the future of the field. This book also covers some of the sample real world NLP business problems and solutions.

Spis treści

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

  • 1. Navigating the NLP Landscape: A comprehensive introduction
  • 2. Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP
  • 3. Unleashing Machine Learning Potentials in NLP
  • 4. Streamlining Text Preprocessing Techniques for Optimal NLP Performance
  • 5. Empowering Text Classification: Leveraging Traditional Machine Learning Techniques
  • 6. Text Classification Reimagined: Delving Deep into Deep Learning Language Models
  • 7. Demystifying Large Language Models: Theory, Design, and Langchain Implementation
  • 8. Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG
  • 9. Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs
  • 10. Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI
  • 11. Exclusive Industry Insights: Perspectives and Predictions from World Class Experts

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