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Anotace knihy

Are you eager to explore the latest breakthrough in artificial intelligence, particularly the domain of large language models (LLMs)? This book is your go-to guide for understanding the core foundations and advanced techniques of LLMs.

This comprehensive resource offers a complete understanding of LLM developments, from pre-training to fine-tuning. It elaborates on the classic Transformer architecture, its adaptations for LLMs, and the full training process, including data collection, cleaning, and preparation. From the book, readers can also learn how to fine-tune LLMs to follow human instructions and align with human intentions, ensuring safer and more ethical AI behavior. Furthermore, to discover effective prompting strategies, such as in-context learning and chain-of-thought, to enhance LLM capabilities and solve complex tasks.

Suitable for both beginners and experienced professionals, this book is an invaluable resource for navigating the dynamic field of LLMs, offering a concise yet comprehensive exploration of the subject.

The translation was originally done using artificial intelligence. Subsequently, a comprehensive human revision was done to ensure content accuracy and coherence throughout the book.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Large Language Model
• Autor: Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Ji-Rong Wen
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 391
• EAN: 9789819662586
• ID: 48313587
• Nakladatelství: Springer, Berlin
• Hmotnost: 1055 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2025

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