// Course · stage 9 of 9
Safety, Evaluation & Frontier
Evaluation and benchmarks, interpretability, security, governance, AI for Science and keeping up with the frontier.
6 unitsabout 44 hours29 algorithms
01Units in this stage
In order. Each unit has goals, algorithms, must-read papers, a project and a self-test.
02Algorithms you will meet
Algorithms Atlas →LLM-as-a-JudgeEmergent AbilitiesFeature Attribution (Integrated Gradients / SHAP)Grad-CAMLogit Lens & ProbingCircuits & Induction HeadsSuperpositionSparse Autoencoders (SAE)Circuit Tracing & Attribution GraphsLocating & Editing Facts (ROME)Activation SteeringAdversarial Examples (FGSM)GCG Universal Jailbreak AttackIndirect Prompt InjectionAutomated Red TeamingLLM WatermarkingDifferentially Private SGD (DP-SGD)Sleeper Agents (Backdoors that Persist)Membership Inference AttacksWeak-to-Strong GeneralizationAI Safety via DebateConstitutional AI / RLAIFGraph Neural Networks (GCN / GAT)AlphaFold 2AlphaGeometry (Neuro-Symbolic Reasoning)RL with Verifiable Rewards (RLVR)Transformer & Self-AttentionGroup Relative Policy Optimization (GRPO)Flow Matching
Part of these routes: Everyday Users · Application Developers · Algorithm Researchers · Product Managers & Leaders · Domain Scientists