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Foundations of Transformers Architecture Chapter 1: Introduction to Transformer Architecture Evolution of Transformer Models Key Components of Transformers Self-Attention Mechanism Chapter 2: Advanced Mechanisms in Transformers Multi-Head Attention Positional Encoding Layer Normalization and Residual Connections Chapter 3: Optimization and Implementation Efficient Transformer Architectures Training Large-Scale Transformer Models Real-World Applications

Foundations of Transformers Architecture

What You'll Learn

Deep Understanding of Transformers
Acquire an in-depth knowledge of the Transformer architecture, including its components and mechanisms.
Application to NLP
Learn how Transformers revolutionize natural language processing and enable powerful language models.
Advanced Implementation Techniques
Master advanced implementation strategies for optimizing and deploying Transformer models.

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