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// 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

Data updated: AI algorithms & curriculum(UTC+8)