Weekly lectures
- Week 1 — Why Agent Workloads Change Model ArchitectureAdvanced
- Week 2 — Transformer Memory and Attention EconomicsAdvanced
- Week 3 — Causal Encoder–Decoder: Reducing PrefillAdvanced
- Week 4 — CSA2: Sparse Attention Across LayersAdvanced
- Week 5 — Hierarchical Sparse IndexingAdvanced
- Week 6 — FP4 KV Caches and Bounded ReplayAdvanced
- Week 7 — mHC, Engram and DSparkAdvanced
- Week 8 — MoE and Multimodal ArchitectureAdvanced
- Week 9 — Optimizers and Large-Scale PretrainingAdvanced
- Week 10 — Distributed Multimodal Training InfrastructureAdvanced
- Week 11 — Training Agents on Environments Rather Than TextAdvanced
- Week 12 — Asynchronous RL, Reasoning Effort and Agent InfrastructureAdvanced
- Week 13 — Knowledge Graphs as Structured Agent MemoryAdvanced
- Week 14 — Grounding, Verification, Scaffolds and Multi-Agent SystemsAdvanced
Assignments
Overview
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