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Training Data Hub
Monitor the Triple-Loop Learning signals. Use these logs to refine your system prompts, identify consistent AI failures, and build datasets for future fine-tuning.
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Loop 2: Team Report Edits 0 Edits
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Loop 3: Critic Calibration 0 Overrides
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Global AI Style & Behavior Rules
These instructions are prepended to ALL AI prompts (Assistant, Critic, and Merge). Use this to enforce global tone, formatting preferences, or scientific constraints identified across all three training loops.
Ask DIY Knowledge Base
Update Knowledge Base
Upload reference figures or paste code snippets (A-D) for this lab. The AI will compare student work against these.
Select a figure above to define its specific pattern/anti-pattern flags. Choose 'Global' to set rules for the entire lab.
(Applies to the entire Lab)
Define specific ideal elements, favorable patterns, anti-patterns to flag, and custom penalties.
Example JSON structure:
{
"ideal_requirements": [
"X-axis label: ''Log2 Fold Change''",
"Y-axis label: ''-log10(FDR)''"
],
"pattern_flags": [
"Plots are ordered logically within the figure (e.g., PCA, then Volcano)",
"Color palette is colorblind-friendly"
],
"anti_pattern_flags": [
"Legend overlapping data points",
"Default grey ggplot2 background"
],
"critical_penalties": {
"If any axis label is entirely missing": {
"Labels": -3,
"Clarity": -1
}
}
}
Paste one or more URLs (one per line). They will be merged into a single source.
Lecture Knowledge
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Lab Knowledge
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Global Course Knowledge
Content added here (like the merged 'Step' scripts) will be used as context for ALL code-related AI questions across all labs and lectures.
Ask DIY Chat Logs
Recent Chat Activity
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Top Modules (by Question Volume)
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Most Recent Notes Activity
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Lab Critic Audit
Recent Critique Activity
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Reference Figure
Associated Specs (JSON)
Student Name
Lecture Detail
AI Response Detail
Student:
Question:
Answer: