Drew Anderson

Large Language Models: (eBook, ePUB)

Understanding AI Tools Like GPT, Deepseek, and QWEN That Are Revolutionizing the World

• Format: ePub

Produktbeschreibung

Large Language Models Unlock the secrets behind one of the most powerful and transformative technologies in artificial intelligence today. This comprehensive guide takes you deep into the fascinating world of large language models-how they work, their origins, and their incredible impact on communication, technology, and society. Whether you are a developer, researcher, or simply curious about the future of AI, this book will provide the knowledge and insights to help you understand and harness the power of these groundbreaking models. Inside This Book, You'll Discover: The history and evolution of language models, tracing their path from simple algorithms to massive neural networks. How large language models work, revealing the mechanisms behind their remarkable language understanding. Training data: what fuels LLMs and how vast datasets shape their intelligence. The architecture behind large language models, including the revolutionary transformer and attention mechanisms. Applications of LLMs in real life, demonstrating their impact across industries and daily tasks. Challenges and limitations faced by these models and how researchers strive to overcome them. Ethical considerations and bias in LLMs, emphasizing responsible AI development. Dive further into the future prospects of language models, the nuances of multilingual capabilities, practical guidance on building your own model, and essential tips for effective and ethical use. This book is your gateway to understanding the present and future of natural language processing. Equip yourself with the knowledge to engage confidently with AI-powered language technologies. Scroll Up and Grab Your Copy Today!

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Produktdetails

• Verlag: epubli
• Seitenzahl: 74
• Altersempfehlung: ab 1 Jahre
• Erscheinungstermin: 14. August 2025
• Englisch
• ISBN-13: 9783565000197
• Artikelnr.: 75193307

Autorenporträt

Self published Author specialized in the non-fiction category since 2019 with over 700 titles produced in different topics related to business, Health, Finances, and Relationships.