AI & ML Tech Glossary

AI red teaming is adversarial testing of AI systems, especially LLM apps, to uncover safety and security failures like jailbreaks, data leakage, harmful outputs, and...

An agentic workflow is a repeatable sequence of planning, tool calls, evaluation, and iteration that an AI agent follows to complete a goal. It makes...

An agent swarm is a multi-agent system where several AI agents collaborate in parallel—using role specialization, coordination, and cross-checking—to plan and execute complex tasks more...

An agent runtime is the execution layer that runs an AI agent’s loop, manages state and memory, integrates tools, and enforces policies, logging, and guardrails...

Agent memory is the short- and long-term storage an AI agent uses to retain user preferences, past actions, and task context across steps or sessions,...

An agent sandbox is a controlled, isolated environment that limits an AI agent’s permissions and tool access (files, network, APIs) to reduce risk, enable safe...

AI agent orchestration is the control layer that coordinates agents, tools, and multi-step execution—handling planning, routing, state, retries, and guardrails so agent workflows run reliably...

Agentic RAG is a retrieval-augmented generation approach where an AI agent iteratively plans and executes multiple retrieval and tool steps—rewriting queries, searching sources, filtering, and...