Exploring the Internals of Large Language Models: A Deep Dive into Architectures and Applications

【電子書籍なら、スマホ・パソコンの無料アプリで今すぐ読める！】

This book is designed for readers who wish to gain a thorough grasp of how LLMs operate, from their foundational architecture to advanced training techniques and real-world applications. The book begins by exploring the fundamental concepts behind LLMs, including their architectural components, such as transformers and attention mechanisms. It delves into the intricacies of self-attention, positional encoding, and multi-head attention, highlighting how these elements work together to create powerful language models. In the training section, the book covers essential strategies for pre-training and fine-tuning LLMs, including various paradigms like masked language modeling and next sentence prediction. It also addresses advanced topics such as domain-specific fine-tuning, transfer learning, and continual adaptation, providing practical insights into optimizing model performance for specialized tasks.画面が切り替わりますので、しばらくお待ち下さい。
※ご購入は、楽天kobo商品ページからお願いします。
※切り替わらない場合は、こちらをクリックして下さい。
※このページからは注文できません。

この商品の詳細を調べる

: 本・雑誌・コミック » 洋書 » COMPUTERS ＆ SCIENCE