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Deadline to Die

Module 2: The Transformer (The Brain of ChatGPT)

📚 Module 2: The Transformer Architecture

Course ID: GENAI-502
Subject: The Context Machine

A simple embedding tells us word meaning in isolation. But words change meaning based on neighbors. The Transformer solves this using Attention.

🏗️ Step 1: Self-Attention (The “Spotlight”)

When the AI reads a word, it shined a spotlight on the rest of the sentence to see which words are related.

🔦 The Analogy: The Spotlight

In “The animal didn’t cross the street because it was too tired,” the word “it” shines its spotlight on “animal”.

🏗️ Step 2: Parallel Processing (The “Speed Boost”)

Older models read one word at a time (like a video). Transformers read the entire sentence at once (like a photo).

🥅 Module 2 Review

  1. Self-Attention: Focusing on important words in a sentence.
  2. Context: Understanding meaning based on neighbors.
  3. Parallelism: Processing entire paragraphs at once.
  4. Transformers: The “T” in ChatGPT!

:::tip Slow Learner Note You don’t need to build a Transformer from scratch. We just need to know how to use the pre-trained ones from Google and OpenAI! :::