Full Transformer Learning Series: From Foundations to Mastery
Last Updated on October 4, 2025 by Editorial Team
Author(s): Rohan Mistry
Originally published on Towards AI.
Full Transformer Learning Series: From Foundations to Mastery
Every revolution has a hidden story. Transformers didn’t just appear out of nowhere — they are the result of decades of strange experiments, brilliant failures, and unexpected breakthroughs. This series is your time machine, taking you from the forgotten past of AI to the cutting edge of today’s GPT-powered world.

This article introduces a comprehensive series on Transformers, aiming to bridge the historical context and technical understanding of these AI models. It emphasizes the journey from past AI models to the revolutionary architecture of Transformers, with each subsequent story diving deeper into essential knowledge, development, and practical applications for developers, culminating in mastery over the architecture and its implications in real-world scenarios.
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