• menu_book Large Language Models via Rust
  • toc Table of Contents
  • school How to Use This Book - Guide for Students and Lecturers
  • contact_mail Preface
  • send Foreword
  • send Foreword
  • foundation Part I - Foundations of Large Language Models
    • Chapter 1
    • Chapter 2
    • Chapter 3
    • Chapter 4
  • layers Part II - Advanced Transformer Architectures
    • Chapter 5
    • Chapter 6
    • Chapter 7
    • Chapter 8
  • build Part III - Training, Fine-Tuning, and Optimization Techniques
    • Chapter 9
    • Chapter 10
    • Chapter 11
    • Chapter 12
    • Chapter 13
  • architecture Part IV - Practical Applications of Large Language Models
    • Chapter 14
    • Chapter 15
    • Chapter 16
    • Chapter 17
    • Chapter 18
    • Chapter 19
  • robot_2 Part V - Prompt Engineering and Advanced Techniques
    • Chapter 20
    • Chapter 21
    • Chapter 22
    • Chapter 23
    • Chapter 24
    • Chapter 25
    • Chapter 26
    • Chapter 27
  • done Closing Remark
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    • Part III
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    Part III

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    Chapter 9

    Building a Simple LLM from Scratch Using Rust

    article

    Chapter 10

    Open Foundational LLMs

    article

    Chapter 11

    Retrieval-Augmented Generation (RAG)

    article

    Chapter 12

    Efficient Training Techniques

    article

    Chapter 13

    Inference and Deployment of LLMs



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