Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Mastering NLP from Foundations to LLMs

You're reading from  Mastering NLP from Foundations to LLMs

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781804619186
Pages 340 pages
Edition 1st Edition
Languages
Authors (2):
Lior Gazit Lior Gazit
Profile icon Lior Gazit
Meysam Ghaffari Meysam Ghaffari
Profile icon Meysam Ghaffari
View More author details

Table of Contents (14) Chapters

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

Xavier Amatriain, PhD

Xavier Amatriain was most recently VP of AI Product Strategy at LinkedIn, where he led company-wide generative AI efforts all the way from platform and infrastructure to product features. He is also a board member of Curai Health, a healthcare/AI start-up that he cofounded and was CTO of until 2022. Prior to this, he led engineering at Quora and was Research/Engineering Director at Netflix, where he started and led the Algorithms team building the famous Netflix recommendations. Xavier started his career as a researcher both in academia and industry. With over 100 research publications (and 6,000 citations), he is best known for his work on AI and ML in general, and recommender systems in particular.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}