AI works by predicting the next most likely token (word or symbol) using mathematics and neural networks.
Data → Training → Neural Network (Transformer) → User Prompt → Tokenization → Prediction → Response
In Simple Steps
- 📚 Training: AI learns patterns from massive datasets (text, images, code).
- 🔢 Tokenization: Your input is split into small tokens.
- 🧠 Transformer: A neural network understands the context of all tokens.
- 📊 Prediction: AI calculates the probability of the next token.
- 💬 Generation: This repeats until the complete response is generated.
AI doesn't think—it predicts the next best token billions of times per second using trained mathematical models.
