— sessions analyzed ·
— noise suppressed ·
— knowledge base entries
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◆ LOGMIND
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CTC log CSV · Multiple sessions supportedActivity Stream 0
LOGMIND
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Events Over Session
Rows by Module
Error Mix
◆ ANNOTATION ENGINE
Verdict Mix
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◆ KNOWLEDGE BASE
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Activity Stream 0
Confirmed resolutions feed into the AI's context on every analysis run. Read-only — entries are added via MT Annotation Engine.
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◆ TRAINHUB
Engineer-authored resolutions are distilled into the model via LoRA fine-tuning. Training starts on its own once enough new corrections accumulate — there is no schedule and no start button.
Training Pairs
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Engineer-authored
New Since Last Run
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Counts toward trigger
Already Trained
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Baked into weights
Status
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Auto-triggered
Auto-Training Trigger
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Pipeline Status
Knowledge base exported
Awaiting threshold…
Fine-tune job prepared
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Training completed
Awaiting ignition…
Adapter promoted to production
Awaiting deployment…
How It Works
1. Collection
Engineers correct AI hypotheses in MT LogMind. Each correction lands in MT RootHub keyed by its fault signature.
2. Eligibility
Only resolutions an engineer actually wrote are used. Hypotheses merely confirmed as-is are retrievable, but never train the model — fine-tuning on its own output teaches it nothing.
3. Trigger
When enough new engineer-authored pairs exist, a run starts automatically.
4. Promotion
The trained adapter is registered with Ollama so the next analysis uses the updated weights.
Training Dataset Preview
◆ INFERENCE HUB
Dictionary of every CTC parameter — symbol, full name, unit, expected range. Automatically injected into the AI prompt on every analysis run.
Symbol
Full Name / Description
Unit
Normal Range
Min → Max
Actions
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