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Foundations of Large Language Models

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 09/10/2026, 06:18:24 UTC.

Briefings

This book serves as a foundational reference for large language models, structured into six chapters covering pre-training, generative models, prompting, alignment, inference, and reasoning. It targets college students and professionals in NLP, offering a structured overview of core concepts rather than cutting-edge technologies.

Key points

• The book is structured into six main chapters: pre-training, generative models, prompting, alignment, inference, and reasoning.
• It is intended for college students, professionals, and practitioners in natural language processing and related fields.

Context

This book provides a structured overview of core concepts in large language models, serving as a reference for anyone interested in the field. It focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies.

Limitations

Evidence is limited to a single book description; specific author names, publication dates, or detailed content coverage beyond the six chapters are not provided.

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