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Revolutionizing Machine Learning: The Transformer Era
This chapter explores the evolution of machine learning architecture, focusing on the transformative self-attention mechanism that led to the development of the transformer model. It highlights the journey from early models like RNNs to advanced techniques, emphasizing the significance of data quality and scaling in enhancing language models and AI systems.