Coursegeneral professionalbeginner
AI Foundations
Core concepts for understanding model behavior, grounding, terminology, and practical limits.
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foundations
This topic appears in 10 published training items.
Resourcegeneral professionalbeginner
Beginner AI Output Verification Worksheet
A beginner worksheet for extracting claims from AI output, choosing verification depth, and labeling confidence before use.
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Context Window
The amount of information a model can take into account in a single interaction.
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Grounding and Context
Learn how source material, context windows, and review habits reduce unsupported AI output.
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Grounding Checklist
A compact worksheet for tying AI output to source material before you rely on it.
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Hallucination
A confident-sounding output that is incorrect, invented, or unsupported by the available evidence.
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Knowing What Not to Share: Sensitive Data and AI Use Boundaries
Learn how to recognize sensitive material, decide what should not go into an AI tool, and use safer substitutes before prompting.
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Sensitive Data & AI Use Pre-Prompt Checklist
A practical checklist for deciding whether source material belongs in an AI prompt, upload, or connected workflow.
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Verifying AI Output: Spotting and Checking Hallucinations
Learn how to spot unsupported AI output, choose a verification depth, and label confidence before using a draft.
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What an LLM Actually Does
Understand model prediction, confidence, and why fluent output is not the same as truth.
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