Bands

1. Deep Learning & Neural Networks - Transformer architectures - Attention mechanisms - Model architectures (CNN, RNN, GAN) 2. Natural Language Processing - Large language models - Text generation and summarization - Sentiment analysis and named entity recognition 3. Computer Vision - Object detection and recognition - Image segmentation - Visual transformers and diffusion models 4. Reinforcement Learning - Deep reinforcement learning - Multi-agent systems - Game theory applications 5. AI Ethics & Safety - Model bias and fairness - AI alignment - Responsible AI development 6. MLOps & Engineering - Model deployment - Version control for ML - Model monitoring and maintenance 7. Generative AI - Text-to-image models - Music generation - Code generation 8. AI Optimisation - Model compression - Quantization - Training efficiency 9. Applied AI - Healthcare applications - Financial modeling - Autonomous systems 10. Foundation Models - Large-scale pre-training - Transfer learning - Few-shot learning