LLM Security 9
- Lesson 1.5: Why LLMs cannot separate instructions from data
- Lesson 1.4: Tool calling, agents and MCP
- Lesson 1.3: Embeddings and RAG
- Lesson 1.2: Anatomy of a prompt
- Lesson 1.1: How an LLM works
- Lesson 0.4: Threat model of an LLM app
- Lesson 0.3: Building a safe lab with Ollama
- Lesson 0.2: Legal and ethical ground rules
- Lesson 0.1: What AI attacks are and how they differ