Topics
All Notes
Reinforcement Learning
Learning through interaction — agents, rewards, and optimal policies.
Supervised Learning
Learning from labeled data — regression, classification, and generalization.
Tokenization
Breaking text into tokens — the bridge between raw text and model input.
Transformers
The architecture behind modern language models — attention, encoders, and decoders.
Event-Driven Architecture
Designing systems around events, messages, and asynchronous communication.