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

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781804619186

Length 340 pages

Edition 1st Edition

Languages

Python

Concepts

Deep Learning

Authors (2):

Meysam Ghaffari

Lior Gazit

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Table of Contents (14) Chapters

Preface

1. Chapter 1: Navigating the NLP Landscape: A Comprehensive Introduction

2. Chapter 2: Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP FREE CHAPTER

3. Chapter 3: Unleashing Machine Learning Potentials in Natural Language Processing

4. Chapter 4: Streamlining Text Preprocessing Techniques for Optimal NLP Performance

5. Chapter 5: Empowering Text Classification: Leveraging Traditional Machine Learning Techniques

6. Chapter 6: Text Classification Reimagined: Delving Deep into Deep Learning Language Models

7. Chapter 7: Demystifying Large Language Models: Theory, Design, and Langchain Implementation

8. Chapter 8: Accessing the Power of Large Language Models: Advanced Setup and Integration with RAG

9. Chapter 9: Exploring the Frontiers: Advanced Applications and Innovations Driven by LLMs

10. Chapter 10: Riding the Wave: Analyzing Past, Present, and Future Trends Shaped by LLMs and AI

11. Chapter 11: Exclusive Industry Insights: Perspectives and Predictions from World Class Experts

12. Index

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13. Other Books You May Enjoy

Our questions and the experts’ answers

We had an opportunity to pick the brains of each of these experienced folks and learn about how their career intersects and leverage AI and LLMs. We tailored questions to each of them so to allow them to teach us through their insights and perspectives. We found these discussions to be rewarding as they shed light on topics that are common and would be valuable for anyone who reads this book. Let’s dive right in.

Nitzan Mekel-Bobrov

Nitzan brings the CAIO’s perspective as he and Ebay are encountering the vast potential that AI and LLM’s have to offer. He shares many diversified aspects that the CAIO has to address and decide on.

Let’s go through the questions and answers with Nitzan Mekel-Bobrov.

Q1.1 – Future of LLM – hybrid learning paradigms: In light of the evolving landscape of learning schemes, what do you envision as the next breakthrough in combining different learning paradigms...

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

Table of Contents (14) Chapters

Our questions and the experts’ answers

Nitzan Mekel-Bobrov

Q1.1 – Future of LLM – hybrid learning paradigms: In light of the evolving landscape of learning schemes, what do you envision as the next breakthrough in combining different learning paradigms...

Unlock this book and the full library FREE for 7 days

Authors (2)

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