The
Core
of ChatGPT
Transformer Architecture
The AI Revolution
OpenAI's
ChatGPT
transformed AI accessibility, bringing powerful language models to everyday users.
But what makes it so advanced?
Key Components of a Transformer
🔹
Encoder
– Understands input text
Transformers consist of two main parts:
🔹 Decoder
–
Generates responses
Key Components of a Transformer
How the Encoder Works
✅
Tokenization & Embedding
The Encoder processes input through:
✅
Positional Encoding
✅
Self-Attention & Feedforward Layers
How the Encoder Works
The Role of the Decoder
The Decoder predicts text step by step using:
✅ Masked Attention
✅ Context Integration
✅ Iterative Word Generation
The Role of the Decoder
The Power Behind ChatGPT
GPT models, like
ChatGPT
, use
decoder-only
architecture, making them excellent for text generation .
Read the full blog here
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