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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 1. Chapter 1: Navigating the NLP Landscape: A Comprehensive Introduction 2. Chapter 2: Mastering Linear Algebra, Probability, and Statistics for Machine Learning and NLP 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 13. Other Books You May Enjoy

LLMs in the cloud

In this era of big data and computation, cloud platforms have emerged as vital tools for managing large-scale computations, providing infrastructure, storage, and services that can be rapidly provisioned and released with minimal management effort.

This section will focus on computation environments in the cloud. These have become the dominant choice for many leading companies and institutions. As an organization, having a computation environment in the cloud versus on-premises makes a major difference. It impacts the ability to share resources and manage allocations, maintenance, and cost. There are many trade-offs for employing cloud services instead of owning physical machines. You can learn about them by searching online or even asking a chat LLM about them.

One significant difference with cloud computing is the ecosystem that the providers have built around it. When you pick a cloud provider as your computation hub, you tap into a whole suite of additional...

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