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Inside LLMs : Unraveling the Architecture, Training, and Real-World Use of Large Language Models - Anand Vemula

Inside LLMs

Unraveling the Architecture, Training, and Real-World Use of Large Language Models

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This audiobook is narrated by a digital voice.

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.

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