Scaling laws and the economics of compute

All lessons in this track

1. 1
   Inside the transformer ~30 min
2. 2
   Attention, computed step by step ~30 min
3. 3
   How a frontier model is trained ~28 min
4. 4
   Scaling laws and the economics of compute ~25 min account needed
5. 5
   Fine-tuning, LoRA, and when not to ~26 min account needed
6. 6
   Alignment, safety and adversarial robustness ~26 min account needed
7. 7
   Serving models: the inference stack ~28 min account needed
8. 8
   Advanced retrieval architectures ~26 min account needed
9. 9
   Agent architecture that survives production ~26 min account needed
10. 10
    Evaluation with statistical rigour ~26 min account needed
11. 11
    Operating an AI system ~24 min account needed
12. 12
    Governance, risk and the law ~24 min account needed