• Understanding Language Models
    • Evolution of language models
    • Scaling laws vs performance
  • Pre-training Generative Models
    • Data collection & preparation
    • Model architectures
    • Tuning techniques (instruction and alignment tuning)
  • Generative Model Optimization
    • Understanding augmentation techniques
    • Understanding retrieval augmented generation systems (RAGs)
    • Understanding agents
      • Multi-agent workflows