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Total Size:
11.3 MB
Info Hash:
4CD952EFAD159B259B1DE5E288C17639DA3423BC
Added By:
Added:
March 2, 2026, 1 a.m.
Stats:
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(Last updated: March 2, 2026, 1:01 a.m.)
| File | Size |
|---|---|
| Zhao W. Large Language Models 2026.pdf | 11.3 MB |
Name
DL
Uploader
Size
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Added
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41.7 MB
[46
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24]
2025-06-19
| Uploaded by andryold1 | Size 41.7 MB | Health [ 46 /24 ] | Added 2025-06-19 |
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10.7 MB
[18
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44]
2025-06-24
| Uploaded by andryold1 | Size 10.7 MB | Health [ 18 /44 ] | Added 2025-06-24 |
NOTE
SOURCE: Zhao W. Large Language Models 2026
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COVER
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MEDIAINFO
Textbook in PDF format
Latest AI Insights: Stay ahead with the newest LLM advancements
Theory Meets Practice: Understand and apply LLM concepts in real-world scenarios
Expert Guidance: Comprehensive coverage by field experts for all skill levels
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 values and intentions, ensuring safer and more ethical AI behavior. Furthermore, it helps readers 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
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