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Train Large Language Models Faster - Parallelism Deep Dive

You're reading from Train Large Language Models Faster - Parallelism Deep Dive Accelerating Large Language Model Training with Parallelism Techniques

Product type Video

Published in Jun 2025

Publisher Packt

ISBN-13 9781806110896

Length 8hrs 50mins

Edition 1st Edition

Concepts

Artificial Intelligence

Author (1):

Paulo Dichone

View More author details

Table of Contents (16) Chapters

1. Introduction

2. Strategies for Parallelizing LLMS - Deep Dive FREE CHAPTER

3. IT Fundamental Concepts

4. GPU Architecture for LLM Training Deep Dive

5. Deep and Machine Learning - Deep Dive

6. Large Language Models - Fundamentals of AI and LLMs

7. Parallel Computing Fundamentals & Parallelism in LLM Training

8. Types of Parallelism in LLM Training - Data, Model, and Hybrid Parallelism

9. Types of Parallelism - Pipeline and Tensor Parallelism

10. Tensor Parallelism - Deep Dive

11. HANDS-ON: Strategies for Parallelism - Data Parallelism Deep Dive

12. HANDS-ON: Data Parallelism w/ WikiText Dataset & DeepSpeed Mem. Optimization

13. Running TRUE Parallelism on Multiple GPU Systems - Runpod.io

14. Fault Tolerance and Scalability & Advanced Checkpointing Strategies - Deep Dive

15. Advanced Topics and Emerging Trends

Advanced Topics and Emerging Trends

16. Wrap up and Next Steps

Course Summary and Next Steps

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Authors (1)

Paulo Dichone

Paulo Dichone

Paulo Dichone is a software engineer and educator specializing in Android, Java, Flutter, and AWS Cloud technologies. With a degree in Computer Science from Whitworth University and extensive industry experience, he has taught over 280,000 students in 175 countries. Paulo is the founder of “Build Apps with Paulo,” a learning platform dedicated to delivering practical, career-focused training in software development and cloud computing. His areas of expertise include mobile and cross-platform app development, as well as scalable cloud-based solutions. Committed to helping learners succeed at all levels, Paulo designs his courses to prepare students for real-world challenges.

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