How to Build a Large Language Model:

di Rachel Bennett (Autore)

epubli, 2025

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. This isn't just a technical manual—it's a forward-looking blueprint for building intelligent systems that align with both innovation and ethics. Inside This Book, You'll Discover: Understanding Transformers: The Architecture Behind LLMs Data Collection: Building the Right Dataset Fine-Tuning vs. Training from Scratch Evaluation Metrics and Benchmarking Performance Addressing Bias, Fairness, and Ethical Concerns Deployment: Serving LLMs at Scale The Future of Large Language Models By 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!

• Autore: Rachel Bennett
• Anno edizione: 2025
• Editore: epubli
• Formato: EPUB2 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783819797781