How to Build a Large Language Model:
Rachel Bennett
This audiobook is narrated by a digital voice.
How to Build a Large Language Model
Step into the world of cutting-edge artificial intelligence with a deep, practical guide to developing your own large language models. This book provides a complete roadmap for building powerful language-based AI systems—from foundational principles to deployment at scale. Whether you're a developer, researcher, or AI enthusiast, you'll uncover how today's most advanced models are designed, trained, and optimized to serve real-world needs.
Explore the journey of language models from their rule-based origins to the revolutionary transformer architecture that powers modern AI. Learn how to collect and preprocess massive datasets, choose the right architecture, train with efficiency, and evaluate performance. Beyond the code, understand how to address bias, ensure fairness, and create responsible systems ready for public interaction.
Inside This Book, You'll Discover:
Understanding Transformers: The Architecture Behind LLMsData Collection: Building the Right DatasetFine-Tuning vs. Training from ScratchEvaluation Metrics and Benchmarking PerformanceAddressing Bias, Fairness, and Ethical ConcernsDeployment: Serving LLMs at ScaleThe Future of Large Language ModelsBy the end of this book, you’ll not only understand how large language models work—you’ll be ready to build one yourself. Whether you’re developing a chatbot, a summarizer, or a task-specific assistant, this guide empowers you to bring your vision to life with confidence and clarity.
Scroll Up and Grab Your Copy Today!
Duration - 2h 45m.
Author - Rachel Bennett.
Narrator - Digital Voice Marcus G.
Published Date - Saturday, 25 January 2025.
Copyright - © 2025 Rachel Bennett ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. How to Build a Large Language Model Step into the world of cutting-edge artificial intelligence with a deep, practical guide to developing your own large language models. This book provides a complete roadmap for building powerful language-based AI systems—from foundational principles to deployment at scale. Whether you're a developer, researcher, or AI enthusiast, you'll uncover how today's most advanced models are designed, trained, and optimized to serve real-world needs. Explore the journey of language models from their rule-based origins to the revolutionary transformer architecture that powers modern AI. Learn how to collect and preprocess massive datasets, choose the right architecture, train with efficiency, and evaluate performance. Beyond the code, understand how to address bias, ensure fairness, and create responsible systems ready for public interaction. Inside This Book, You'll Discover: Understanding Transformers: The Architecture Behind LLMsData Collection: Building the Right DatasetFine-Tuning vs. Training from ScratchEvaluation Metrics and Benchmarking PerformanceAddressing Bias, Fairness, and Ethical ConcernsDeployment: Serving LLMs at ScaleThe Future of Large Language ModelsBy the end of this book, you’ll not only understand how large language models work—you’ll be ready to build one yourself. Whether you’re developing a chatbot, a summarizer, or a task-specific assistant, this guide empowers you to bring your vision to life with confidence and clarity. Scroll Up and Grab Your Copy Today! Duration - 2h 45m. Author - Rachel Bennett. Narrator - Digital Voice Marcus G. Published Date - Saturday, 25 January 2025. Copyright - © 2025 Rachel Bennett ©.
Language:
English
Intro
Duration:00:00:12
Beginning
Duration:00:03:27
Introduction to Language Models and Their Impact
Duration:00:08:45
From Rule-Based to Neural Nets: A Brief History
Duration:00:09:00
Understanding Transformers: The Architecture Behind LLMs
Duration:00:09:22
Data Collection: Building the Right Dataset
Duration:00:10:55
Data Preprocessing and Tokenization
Duration:00:10:16
Choosing Model Size and Architecture
Duration:00:09:52
Training Infrastructure: Hardware and Frameworks
Duration:00:11:25
Fine-Tuning vs. Training from Scratch
Duration:00:09:37
Optimization Techniques and Loss Functions
Duration:00:11:37
Evaluation Metrics and Benchmarking Performance
Duration:00:12:02
Addressing Bias, Fairness, and Ethical Concerns
Duration:00:10:23
Deployment: Serving LLMs at Scale
Duration:00:11:40
Cost and Resource Management in LLM Development
Duration:00:11:41
Building for Specific Tasks: Chatbots, Summarizers, and More
Duration:00:11:00
The Future of Large Language Models
Duration:00:11:07
Conclusion
Duration:00:02:54