AI Glossary

Your comprehensive guide to understanding artificial intelligence terminology and concepts.
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AI agents
AI agents are autonomous software systems that plan, execute, and adapt to automate tasks and drive productivity across teams.
Agent
Agent is an AI-powered system that plans, executes, and adapts workflows by breaking tasks into steps, using tools, and learning from feedback.
Agentic AI
Agentic AI systems autonomously break down complex tasks into plans, integrate organizational knowledge, and execute workflows with minimal supervision.
Agentic Reasoning Engine
Agentic reasoning engine enables AI systems to plan, execute and adapt through multi-step processes for autonomous goals with minimal human supervision.
Artificial intelligence
Artificial intelligence refers to computer systems that observe, analyze, and learn from data to perform complex tasks with humanlike reasoning.
Big data
Big data describes massive, complex datasets that exceed traditional processing limits and need scalable systems to deliver actionable insights for decisions.
Controllability
Controllability enables organizations to direct AI system behavior and maintain transparency, intervention capabilities, and alignment with business objectives.
Enterprise Latency
Latency is the delay between sending a request and receiving a response in networks and systems, affecting performance and outlining ways to reduce it.
Extensibility
Extensibility lets systems grow by adding features without affecting core functionality. Explore modular design, APIs and plugin frameworks.
Fine tuning
Fine tuning is the process of adapting a pre-trained AI model to your specific tasks using targeted data for improved accuracy and performance.
Grounding
Grounding reconnects you to Earth’s surface by making direct contact with soil, grass, or sand to ease inflammation, reduce stress, and improve sleep.
Hallucination
Hallucination is a perception without an external stimulus that feels real. Explore common causes, types, and when to seek professional help.
Knowledge graph
Knowledge graph maps relationships between people, content, and activity to give AI systems context-aware insights and improve enterprise search.
Large language model
Large language model is a neural network trained on extensive text to understand and generate human language. It enables content creation and complex reasoning.
Looping
Looping is the process of repeating a sequence of instructions, audio, or video segments until specific conditions are met.
Low code
Low code platforms empower developers and business users to build applications visually with minimal coding, delivering faster results and cutting costs.
No Code platforms
No code platforms let you create apps and workflows with drag-and-drop tools without writing code, so you can launch projects faster with visual development.
RAG
RAG (Retrieval-Augmented Generation) combines large language models with external data sources to generate accurate, context-rich responses.
Reasoning
Reasoning is the process of using logical thinking to draw conclusions and make decisions. Explore deductive, inductive and causal approaches.
System of context
System of context unifies data across apps to capture content, activity signals, people metadata and permissions, giving AI a complete organizational view.
Temperature
Temperature measures hotness or coldness on various scales and determines heat flow. Explore how temperature shapes weather, science, and daily life.
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