🚀 GPT Architecture Visualizer
Explore the decoder-only architecture powering modern language models
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0 / 5 completedThe Generative Revolution
🎯 What is GPT?
GPT (Generative Pre-trained Transformer) is a decoder-only transformer architecture designed for text generation. Unlike BERT's bidirectional encoding, GPT uses causal (left-to-right) attention to predict the next token auto-regressively.
Causal masking ensures each position can only attend to previous positions, enabling natural language generation through auto-regressive modeling.
117M parameters
Proved transfer learning for NLP generation
1.5B parameters
Zero-shot capabilities emerged
175B parameters
Few-shot learning breakthrough
🎨 Generation Tasks
- •Text completion and story writing
- •Code generation and debugging
- •Creative writing and brainstorming
- •Dialog and conversational AI
🧠 Capabilities
- •In-context learning (few-shot)
- •Zero-shot task performance
- •Reasoning and problem solving
- •Multi-domain knowledge
📊 Scale & Performance
GPT models demonstrate emergent abilities as they scale. Capabilities like arithmetic, translation, and reasoning appear naturally in larger models without explicit training on those tasks.