The Hundred Page Language Models Book by Andriy Burkov
A concise, practitioner-focused guide to large language models that explains how transformers work, how models are trained and fine‑tuned, and how to build reliable applications. It covers tokenization, attention, pretraining objectives, instruction tuning and RLHF, as well as efficiency techniques like distillation and quantization. Practical chapters address prompting, evaluation, safety and alignment, and production concerns such as retrieval‑augmented generation, tool use, agents, deployment, cost, and risk management. Written to give engineers and decision‑makers a compact, end‑to‑end understanding of the field.
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- Canadian
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- Original Language
- English
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