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Demystifying Transformers: A Developer's Guide to Understanding LLMs

August 17, 2025·7 min read
AI

On this page

  • Why Transformers Changed Everything
  • The Architecture: A Highway of Context
  • Step 1: From Words to Numbers
  • Tokenization: Breaking It Down
  • Word Embeddings: The Translation Layer
  • Positional Embeddings: Order Matters
  • Step 2: The Attention Mechanism
  • Query, Key, Value: The Social Network Analogy
  • Multi-Head Attention: Specialists at Work
  • Step 3: MLP - The Knowledge Processor
  • Training vs Inference: Two Different Modes
  • Training: Learning from Complete Examples
  • Inference: One Token at a Time
  • Modern Innovations
  • Scale Effects
  • Chain of Thought Reasoning
  • Mixture of Experts (MoE)
  • Putting It All Together
  • Key Takeaways
  • References
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