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Book synopsis

The Transformer Principles Series is a three-volume graduate-level treatise that builds a complete mathematical and engineering understanding of modern AI systems, from the foundational attention mechanism to large language models and multimodal architectures.

Volume II - Training, Aligning, and Deploying Large Language Models addresses the full lifecycle of LLMs: web-scale data curation and deduplication, scaling laws and compute-optimal training, the GPT and BERT family of architectures, mixed-precision distributed training, supervised instruction tuning, reinforcement learning from human feedback (RLHF), direct preference optimization (DPO), safety and alignment, evaluation methodology, in-context learning, agentic reasoning, and production deployment.

Book details

• Full title: Training, Aligning, and Deploying Large Language Models
• Author: Wei Sun
• Language: English
• Binding: Paperback
• Number of pages: 586
• EAN: 9798183717983
• ID: 53016506
• Publisher: Independently published
• Weight: 1341 g
• Dimensions: 280 × 216 × 30 mm
• Date of publishing: 24. June 2026

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