Part IV
Building with LLMs at scale. Alignment and fine-tuning, retrieval-augmented systems, agents, multimodal models, and the engineering patterns for production AI.
RLHF, Constitutional AI, red-teaming, and the alignment tax.
Claude API, RAG, agents, evals, and deployment at scale.
ReAct, tool use, multi-agent systems, planning, and production reliability for LLM agents.
From pixels to perception to generation: ViT, CLIP, VLMs, diffusion models, and video architectures.
Recommender systems, graph neural networks, time series, and reinforcement learning — specialized architectures powering production systems.