Foundational Transformer Architecture for Generative AI Engineering

Master the core components of Transformer architecture, including Self-Attention, Multi-Head Attention, and Positional Encoding, essential for building and understanding modern Generative AI models.

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The Core Transformer: Encoder-Decoder and Self-Attention Unveiled

Unit 1: Setting the Stage: From Sequences to Transformers

Unit 2: Deconstructing the Transformer

Unit 3: Unveiling Self-Attention

Enhancing Sequence Understanding: Multi-Head Attention and Positional Encoding

Unit 1: Beyond Single Focus: Multi-Head Attention

Unit 2: Time and Order: Positional Encoding

Unit 3: Transformers in the Real World