Miscellaneous
Sandbox Environment
A sandbox provides a controlled, isolated execution environment for testing code, AI agents, or model outputs without risk to production data or external systems. AI agent sandboxes are especially important—agents can execute code, browse the web, and take file actions, all of which could be dangerous without isolation.
Cloud providers offer sandboxed code execution environments (AWS Lambda, Google Cloud Run) that AI coding assistants and autonomous agents use to safely test generated code. Sandboxing is a key safety mechanism for agentic AI deployments.
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Related Terms
Applications
AI Agents
AI systems that combine a language model with tools, memory, and planning to autonomously execute multi-step tasks — observing outcomes, deciding next actions, and iterating until a goal is reached.
Miscellaneous
Deployment
The process of making a trained AI model available for real-world use in production environments.
Techniques & Methods
AI Alignment
The research field and engineering practice of building AI systems that reliably pursue goals humans actually want, remain controllable, and avoid harmful side effects — operationalized through RLHF, Constitutional AI, evaluations, and interpretability.
Applications
Plugins / Tools
Extensions that allow AI systems to interact with external services, APIs, and data sources.