Concept map Every concept embedded as a vector and placed so that similar ideas sit near each other — a live demonstration of a vector space. Lines connect related concepts. Drag to pan, scroll to zoom, and click a node to see its definition and its nearest neighbours by similarity.
AI Foundations LLMs & Generative AI Embeddings & Vector Spaces Data & Infrastructure Orchestration & Agents Use Cases & Patterns Safety, Ethics & Risk
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Artificial Intelligen… Machine Learning (ML) Deep Learning Neural Network Parameters & Weights Training vs Inference Foundation Model Large Language Model … Generative AI Tokens & Tokenization Transformer Architect… Attention Mechanism Context Window Prompt & Prompt Engin… System Prompt Zero-shot, Few-shot &… Temperature & Sampling Fine-tuning RLHF (Reinforcement L… Multimodal AI Diffusion Models (Ima… Hallucination Embeddings Vector Space Cosine Similarity Vector Database Semantic Search RAG (Retrieval-Augmen… Grounding AI Agents Tool Use / Function C… MCP (Model Context Pr… Orchestration & Chain… Guardrails Evaluation (Evals) Human-in-the-Loop (HI… Summarisation & Extra… Classification & Rout… Conversational AI & A… Scoping an AI PoC Bias & Fairness Responsible AI Transparency & Explai… Data Privacy & Securi… Prompt Injection Alignment Choosing a Model ANI, AGI & ASI Large Reasoning Model… Agentic AI Embedding Models Data Warehouse Data Lakehouse (& Dat… AI Governance Chunking LangChain LangGraph Agent Modes Agent Skills