metadata
title: README
emoji: 🧠
colorFrom: yellow
colorTo: gray
sdk: static
pinned: true
license: mit
short_description: ITCare AI - Domain-Specific LLM Fine-tuning
ITCare AI
Fine-tuned language models for content management systems
Focus Areas
Domain-Specific Fine-tuning
Specialized models trained on real-world CMS data to assist content editors with component selection, page building, and content structure decisions.
Training Methodology
| Approach | Description |
|---|---|
| Surgical LoRA | Train upper reasoning layers while preserving base model capabilities |
| Multi-format Datasets | Flat, embedded, hierarchical, and conversational training formats |
| Data Augmentation | Query paraphrasing for linguistic diversity |
| Thought Anchors | Structured <think> reasoning in responses |
Privacy-First Pipeline
- PII obfuscation in training data
- Local inference via LM Studio
- No customer data leaves the machine
Platform
Optimized for Apple Silicon using the MLX framework.
Use Cases
- Component Recommendations - Suggest appropriate blocks for page sections
- Page Structure - Design complete page layouts from requirements
- Content Assistance - Help editors with mission-aligned content
Building AI tools for the nonprofit sector