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 FoundationsLLMs & Generative AIEmbeddings & Vector SpacesData & InfrastructureOrchestration & AgentsUse Cases & PatternsSafety, Ethics & Risk
Artificial Intelligen…Machine Learning (ML)Deep LearningNeural NetworkParameters & WeightsTraining vs InferenceFoundation ModelLarge Language Model …Generative AITokens & TokenizationTransformer Architect…Attention MechanismContext WindowPrompt & Prompt Engin…System PromptZero-shot, Few-shot &…Temperature & SamplingFine-tuningRLHF (Reinforcement L…Multimodal AIDiffusion Models (Ima…HallucinationEmbeddingsVector SpaceCosine SimilarityVector DatabaseSemantic SearchRAG (Retrieval-Augmen…GroundingAI AgentsTool Use / Function C…MCP (Model Context Pr…Orchestration & Chain…GuardrailsEvaluation (Evals)Human-in-the-Loop (HI…Summarisation & Extra…Classification & Rout…Conversational AI & A…Scoping an AI PoCBias & FairnessResponsible AITransparency & Explai…Data Privacy & Securi…Prompt InjectionAlignmentChoosing a ModelANI, AGI & ASILarge Reasoning Model…Agentic AIEmbedding ModelsData WarehouseData Lakehouse (& Dat…AI GovernanceChunkingLangChainLangGraphAgent ModesAgent Skills