
Build a Large Language Model (From Scratch)
by Sebastian Raschka (2024)
Like 'Attention Is All You Need', this book delves into the core mechanics of LLMs and transformers.

by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin (1998)
Amoral, cunning, ruthless, and instructive, this piercing work distills three thousand years of the history of power in to forty-eight well explicated laws. As attention--grabbing in its design as it is in its content, this bold volume outlines the laws of power in their unvarnished essence, synthesizing the philosophies of Machiavelli, Sun-tzu, Carl von Clausewitz, and other great thinkers. Some laws teach the need for prudence ("Law 1: Never Outshine the Master"), the virtue of stealth ("Law 3: Conceal Your Intentions"), and many demand the total absence of mercy ("Law 15: Crush Your Enemy Totally"), but like it or not, all have applications in real life. Illustrated through the tactics of Queen Elizabeth I, Henry Kissinger, P. T. Barnum, and other famous figures who have wielded--or been victimized by--power, these laws will fascinate any reader interested in gaining, observing, or defending against ultimate control.
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by Sebastian Raschka (2024)
Like 'Attention Is All You Need', this book delves into the core mechanics of LLMs and transformers.
by Nicole Koenigstein (2013)
This book explores the transformer architecture, the foundation of models like those discussed in 'Attention Is All You Need'.

by Lewis Tunstall, Leandro von Werra, Thomas Wolf
This practical guide builds upon the concepts introduced in 'Attention Is All You Need', focusing on transformer libraries.

by Jay Alammar, Maarten Grootendorst (2024)
Similar to 'Attention Is All You Need', this book provides practical insights into building and understanding LLMs.

by Jeremy Howard, Sylvain Gugger (2020)
This book offers a practical approach to deep learning, complementing the foundational concepts of 'Attention Is All You Need'.
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