R1 · UNDERSTAND14 min

Understanding Generative AI: The Transformer Architecture

Gain a precise mental model of how generative AI functions, focusing on the transformer architecture. You will understand how Large Language Models process information, enabling you to anticipate their strengths, typical behaviors, and common failure modes like hallucination.

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Who stands behind this episode

✓ Expert curated

The narration is AI-generated. The substance is not — every atom is drawn from material this curator wrote, reviewed and signed off before it was voiced.

Hendrik Lojek
Principal & Founder, ForgeShift Advisory
Advisory ExpertField ExpertIndustry Expert

Syllabus

  1. 1. Tokens and embeddings: turning language into numbers

    • Tokenization: Breaking Down Language
    • Embeddings: Meaning as Geometry

  2. 2. Attention: The Core Idea

    • Beyond Sequential Processing
    • The Power of Attention

  3. 3. Stacking Layers: From Features to Abstractions

    • The Transformer Block
    • Building Abstract Understanding

  4. 4. Decoding: How Words Come Out (and Why It Hallucinates)

    • The Next-Token Predictor
    • Behaviors from Prediction

  5. 5. How a Raw Model Becomes a Helpful Assistant

    • The Three Stages of LLM Training
    • Recognizing Model Limitations

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