All Topics
Start with Foundations if you're new to the field. Each subsequent module builds on the previous one, but feel free to jump in wherever fits your level.
/* Start here, grasp the essentials */
Foundations
Before jumping into advanced AI systems, you need a solid mental model of how language models actually work, what embeddings are, and how AI processes information. These are the building blocks everything else on this platform is built on.
/* Retrieval-Augmented Generation */
RAG
RAG gives language models access to external knowledge they were never trained on. Instead of relying on what the model memorised during training, RAG retrieves relevant documents at query time, making responses more accurate, current, and grounded in real sources.
/* Model Context Protocol */
MCP
MCP is Anthropic's open protocol that lets AI models connect securely to tools, APIs, and data sources through a standardised interface. Think of it as USB-C for AI. One universal connector for everything your model needs to interact with the outside world.
/* Autonomous AI that gets things done */
Agentic AI
Agentic AI systems don't just answer questions. They plan, execute multi-step tasks, use tools, and keep iterating until they reach a goal. Understanding agents means understanding where AI is actually headed in production, systems that act rather than just respond.