AI Agents
AI systems that can reason about goals, use tools, take multi-step actions, and adapt based on results — without human intervention at each step.
Read DefinitionGlossary
The AI terms
that actually matter.
A working glossary of AI concepts — written for business leaders and operators who need to make real decisions, not for researchers.
AI Orchestration
The infrastructure layer that coordinates multiple AI models, tools, and workflows into reliable production systems.
Read DefinitionContext Window
The maximum amount of text — measured in tokens — that an LLM can consider at once when generating a response.
Read DefinitionEmbeddings
Dense numerical representations of text, images, or other data that capture semantic meaning in a way that machines can compare and search.
Read DefinitionFine-Tuning
The process of further training a pretrained language model on a specific dataset to specialize its behavior, style, or domain.
Read DefinitionHallucination
When a language model produces confident-sounding output that is factually incorrect or unsupported by its inputs.
Read DefinitionLarge Language Model (LLM)
A neural network trained on massive amounts of text to predict the next token — the foundation of modern AI assistants, agents, and generative systems.
Read DefinitionLoRA (Low-Rank Adaptation)
A fine-tuning technique that trains a small set of adapter weights instead of the full model — making fine-tuning dramatically cheaper and faster.
Read DefinitionModel Context Protocol (MCP)
An open protocol that standardizes how AI applications connect to data sources and tools — letting any AI client work with any compatible server.
Read DefinitionMultimodal AI
AI systems that can process and generate across multiple input types — text, images, audio, video — within a single model.
Read DefinitionPrompt Engineering
The practice of designing the inputs to a language model so that its outputs are accurate, consistent, and aligned with the task.
Read DefinitionRetrieval-Augmented Generation (RAG)
A technique that grounds an LLM's output in a specific document corpus by retrieving relevant context before generation.
Read DefinitionRLHF (Reinforcement Learning from Human Feedback)
A training technique that uses human preferences to shape a language model's behavior — turning a raw next-token predictor into a helpful, safe assistant.
Read DefinitionTransformer
The neural network architecture — based on attention — that powers every modern LLM, image model, and most state-of-the-art AI.
Read DefinitionVector Database
A specialized database that stores and searches high-dimensional numerical representations of text, images, or other data — enabling semantic similarity search.
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