Transformers in Action

Transformers in Action

Master the architecture that redefined artificial intelligence and build the next generation of LLMs. Transformers in Action provides a definitive, engineering-focused roadmap to the core technology powering today’s AI revolution. Learn how to move beyond basic API calls to architecting, fine-tuning, and deploying high-performance Transformer models—bridging the gap between academic theory and production-ready applications—ensuring your projects remain at the cutting edge of Natural Language Processing (NLP) and computer vision.

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What You Will Learn:

The Attention Mechanism: Master the foundational mathematics and logic behind "Self-Attention" and "Multi-Head Attention" that allow models to understand context.

Fine-Tuning Foundation Models: Step-by-step guidance on adapting pre-trained models like BERT, GPT, and RoBERTa to specific industry tasks and datasets.

Multimodal Transformers: Discover how to implement Transformer architectures for non-text tasks, including image recognition, audio processing, and time-series analysis.

Optimization & Deployment: Learn advanced techniques for model quantization, pruning, and efficient serving to minimize latency in real-world environments.

Who This Book is For: This professional-grade guide is essential for Machine Learning Engineers, Data Scientists, and Backend Developers looking to specialize in AI. It is an invaluable resource for any technical professional—including those building AI-integrated security systems like Smart Guard—aiming to master the internal mechanics of modern intelligence.

Product Details:

Format: Digital PDF Download

Author: Nicole Koenigstein

Publisher: Manning Publications

ISBN-13: 9781633437883

ISBN-10: 1633437884