Term explanation
In live online training, it is sometimes useful to divide the students into small groups for certain exercises, as it would be impossible to have conversations at the same time. Break-out-rooms are used so that people can talk to each other without disturbing the others. When the exercise is over, they are sent back to the main room.
SlideLizard LIVE keeps participants connected between breakout sessions: send messages to attendee devices, collect real-time feedback, and use live polls to re-energize the group when everyone reconvenes.
Learn more →A distributed audience is a group of presentation attendees who are physically located in different places — such as different offices, cities, or countries — and who attend the presentation remotely or from multiple simultaneous locations. Managing a distributed audience requires careful attention to technical setup, timing across time zones, and engagement tools that compensate for the lack of physical presence. Distributed audiences are common in global organizations, virtual events, and multi-site corporate communications.
Learn moreHybrid learning combines in-person instruction with online or digital learning elements. Some students or participants engage physically in the same space as the instructor, while others join remotely or access content asynchronously. Hybrid learning offers flexibility and broader reach without fully replacing face-to-face interaction. It is widely used in universities, corporate training, and continuing education programs, particularly since remote-capable infrastructure became standard in many organizations.
Learn moreA .pptm file is a macro-enabled PowerPoint presentation that contains one or more embedded VBA macros in addition to slides with text, images, and formatting. Macros allow presenters to automate repetitive tasks — such as updating data fields or triggering animations — directly within the file. Because .pptm files can run executable code, they are treated with caution by security tools and should only be opened from trusted sources.
Learn moreA multi-agent system is a setup in which several autonomous AI agents work together, each handling a specific part of a larger task. The agents can communicate, divide work, and combine their outputs to achieve goals that would be difficult for a single model. Typically, an orchestrator agent coordinates the workflow while specialist agents execute defined subtasks. In enterprise contexts, multi-agent systems allow complex workflows — such as researching a topic, drafting content, checking compliance, and distributing a presentation — to be fully automated.
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