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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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Ask DIY Knowledge Base
Update Knowledge Base
Upload reference figures (A-D) for this lab. The AI will compare student work against these.
(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.
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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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Student Name
Lecture Detail
AI Response Detail
Student:
Question:
Answer: