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Introduction to Transformers for Large Language Models
From The RNN Encoder-Decoder to the Transformer Architecture
Course content
8 sections | 62 lessons
Expand all sections
Introduction
1 Lessons
The RNN Encoder Decoder Architecture
9 Lessons
The Attention Mechanism Before Transformers
11 Lessons
The Self-Attention Mechanism
8 Lessons
Understanding the Transformer Architecture
14 Lessons
How do we create Tokens from Words
7 Lessons
How LLMs Generate Text
7 Lessons
Beyond LLMs: The Vision Transformer
5 Lessons
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