List of MicroSims for Prompt Engineering
Interactive Micro Simulations to help students learn prompt engineering fundamentals.
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Interactive nested hierarchy showing how 20 foundational AI concepts relate to each other, from the broadest (Artificial Intelligence) to the most specific (Human-AI Interaction).
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Context Management Decision Framework
Interactive decision tree for choosing the right context management strategy for any prompt engineering task.
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Interactive 2D visualization of text embeddings showing how semantically similar phrases cluster together, with search and nearest-neighbor retrieval.
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Foundation Model Training Pipeline
Interactive infographic showing the three-stage pipeline from pre-training through fine-tuning to deployment, with hover tooltips and click-to-expand examples.
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Interactive network graph for exploring course concepts with search, category filtering, and dependency highlighting.
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Long-Form Document Processing Strategies
Interactive decision tree that guides students through choosing the right strategy for processing long documents based on goal, document size, and detail level.
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Circular 5-step diagram visualizing the iterative prompt refinement loop with click-through examples and a quality gauge that fills as iterations complete.
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Interactive tool where students evaluate sample prompts against four quality dimensions (relevance, accuracy, completeness, conciseness) and compare their ratings to expert scores.
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Interactive bar chart showing how the temperature parameter changes token probability distributions, with controls to generate tokens and observe the creativity-coherence tradeoff.