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AI Summary: A comprehensive, hands-on engineering manual that teaches you how to build, train, and fine-tune a large language model entirely from scratch using PyTorch.
AI Summary: A comprehensive, hands-on engineering manual that teaches you how to build, train, and fine-tune a large language model entirely from scratch using PyTorch.
This highly anticipated release takes readers on a deep, code-first journey into the inner workings of foundation models. Author Sebastian Raschka guides developers step-by-step through constructing a fully functional GPT-style model using pure PyTorch. The book demystifies the entire pipeline, from coding custom attention mechanisms and handling tokenization, to pre-training on unlabeled data and fine-tuning for specific instruction-following tasks. It bridges the gap between high-level APIs and low-level matrix math, offering an unparalleled foundational understanding.
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