Transformer Models Demystified
How Modern AI Systems Learn, Reason, and Generate Human-Like Responses
What if the AI assistant answering your questions operates on principles fundamentally different from how you think? Transformer models power the most advanced AI systems today, yet most people interact with them without understanding how they actually work. This book bridges that gap by explaining the architecture, training, and capabilities of transformers in clear, practical terms. You'll discover why attention mechanisms revolutionized AI, how models like those behind Perplexity learn from billions of words, and what makes them both remarkably capable and surprisingly limited. Through real-world examples and accessible explanations, you'll gain the knowledge to use these tools more effectively, understand their constraints, and make informed decisions about AI in your work and life. Whether you're curious about the technology or need to work with AI systems professionally, this book provides the insights you need to move beyond hype and truly understand modern AI.
Est. Length
207 pages (9 chapters)
Language
English
Publication date
Feb 4, 2026
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