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How to Build a Large Language Model:

Step-by-Step Guide to Creating Your Own AI Model Using Transformers, Datasets, and Python.DE

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga How to Build a Large Language Model: Rachel Bennett
Libristo kod: 51537948
Nakladnici epubli, ožujak 2026
How to Build a Large Language ModelStep into the world of cutting-edge artificial intelligence with... Cijeli opis
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How to Build a Large Language ModelStep 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!

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Informacije o knjizi

Puni naziv How to Build a Large Language Model:
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2026
Broj stranica 96
EAN 9783565340712
Libristo kod 51537948
Nakladnici epubli
Težina 207
Dimenzije 170 x 240 x 5
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