Foundations of LLMs

Foundations of LLMs

The Foundations of LLMs is a comprehensive resource aimed at readers interested in understanding the fundamentals of large language models (LLMs). This book systematically explains relevant foundational knowledge and introduces cutting-edge technologies in the field.

Key Features:

• Structured Content: The book is divided into six chapters, each focusing on different aspects of LLMs, including traditional language models, architecture evolution, prompt engineering, and more.
• Illustrative Examples: Each chapter uses an animal as a backdrop to explain specific technologies, enhancing readability and engagement.
• Continuous Updates: The author team is committed to monthly updates based on feedback from the open-source community and experts.
• Supplementary Resources: Includes a list of relevant papers for each chapter to track the latest advancements in technology.

Benefits:

• Comprehensive Learning: Ideal for both beginners and experts looking to deepen their understanding of LLMs.
• Community Engagement: Readers are encouraged to provide feedback and contribute to the ongoing development of the book.
• Accessible Format: Available in PDF format, making it easy to read and reference.

Highlights:

• The first edition covers essential topics such as model fine-tuning, retrieval-augmented generation, and more.
• The repository includes additional folders with chapter-specific PDFs and related research papers, which are continuously updated.

For any inquiries or suggestions, readers can contact the authors via email at [email protected].