Additional resources
Deepen your learning
Explore these curated resources to expand your understanding of model engineering, training optimisation, and algorithmic fairness.

Further Reading & Tools
- Model Architectures: OpenAI Blog on Neural Networks
- Training Optimisation: Google's Guide to ML Performance
- Fairness & Bias: The Algorithmic Justice League
- Documentation: SpaCy NER Documentation