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9 of 30High-Level GPT Architecture
Concept in One Line
GPT Architecture explains how GPT converts user input text into final output text using tokens, embeddings, and transformer attention.
Why This Concept Is Important
- It helps us understand what happens inside ChatGPT.
- It removes the feeling that AI is magic.
- It is commonly asked in interviews.
Key Points to Remember
- Everything starts with user input (prompt).
- Text is broken into tokens.
- Tokens are converted into numbers (embeddings).
- Transformer uses attention to understand context.
- GPT predicts output word by word.
- Output is converted back to readable text.
Step-by-Step GPT Flow
Step 1: User Input (Prompt)
- You type a question or instruction.
Step 2: Tokenization
- Input text is split into tokens.
Example: "Explain AI simply" -> tokens
Step 3: Embeddings
- Tokens are converted into numbers.
- Numbers represent meaning.
Step 4: Transformer + Attention
- Model looks at all tokens together.
- Focuses on important words.
- Builds context.
Step 5: Next Word Prediction
- GPT predicts the next word.
- It repeats this step to form the full answer.
Step 6: Output Text
- Tokens are converted back to words.
- The final answer is shown to the user.
Simple Diagram / Flow
Input Text
->
Tokens
->
Embeddings (Numbers)
->
Transformer + Attention
->
Next Word Prediction
->
Output Text
Interview / Exam Points
Q1: Explain GPT architecture at a high level.
GPT converts input text into tokens, changes them into embeddings, uses transformer attention to understand context, and generates output word by word.
Common Confusions to Avoid
- GPT does not understand text directly.
- GPT does not generate output in one shot.
- GPT generates text step by step.
- Attention helps understand context.
One Line to Remember
GPT architecture is the flow from input text to output text using tokens, embeddings, attention, and prediction.
Quick Self-Check
- GPT generates output in one step -> Yes / No?
- GPT uses attention to understand context -> Yes / No?
- Correct answers: No, Yes