Agent Loop
The agent loop is the core operating cycle of an autonomous AI agent. It runs continuously through four phases: Perception (gathering information), Reasoning (planning the next step), Action (executing — such as calling a tool or generating content), and Observation (evaluating the result). The loop repeats until the task is complete or the agent requires human input. This is the mechanism behind Agentic AI systems — it is what allows agents to handle complex, multi-step tasks that a single prompt-and-response model could not.
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.odp file extension
An .odp file is a presentation created with LibreOffice Impress or other OpenDocument-compatible applications. Like .ppt files, it contains slides with text, images, effects, and media. The .odp format is part of the open OpenDocument standard, making it vendor-neutral and compatible across platforms. Most modern presentation tools, including Microsoft PowerPoint, can open and convert .odp files.
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.pot file extension
A .pot file is a legacy PowerPoint template format used to define reusable styles, layouts, and formatting for presentations. Like its successor .potx, it allows teams to create multiple presentations that share the same visual identity without starting from scratch each time. The .pot format was replaced by .potx in Office 2007, which introduced an open XML-based structure for improved compatibility.
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Student Response System (SRS)
A student response system (SRS) is a technology that allows students to respond to questions or polls during a class or presentation using personal devices or dedicated clickers. Responses are collected and displayed in real time, giving instructors immediate insight into comprehension levels and enabling on-the-spot adjustments to pacing or content. Student response systems improve engagement, reduce passive listening, and make large group instruction more interactive.
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