AI MODEL FINE-TUNING RALEIGH, NC
Petronella fine-tunes LLMs on your proprietary data in Raleigh. Domain-specific AI that outperforms generic models while keeping data private.
Our Capabilities
Fine-Tuning Services
- Domain-specific LLM fine-tuning on your data
- Custom training data preparation and curation
- Model evaluation against your use cases
- Continuous learning for ongoing improvement
Infrastructure & Security
- Private fine-tuning on your GPU servers
- No data sent to external providers
- Model version control and rollback
- HIPAA and CMMC compliant training
Key Services
LLM Fine-Tuning
Adapt models for higher accuracy and lower costs.
Data Engineering
Curate and format data for optimal training.
Evaluation
Rigorous benchmarking against your requirements.
Private Infrastructure
Train on your hardware with zero exposure.
What Changes
Generic Responses
Foundation models lack your domain knowledge.
Data Exposure
Commercial services require uploading sensitive data.
High Costs
Large generic models expensive for specific tasks.
Domain Expert AI
Models understand your terminology and workflows.
Private Training
All fine-tuning on your infrastructure.
Optimized Performance
Smaller, faster models outperforming generic LLMs.
How It Works
Define: Identify use cases and requirements
Prepare: Curate training data from your knowledge
Train: Fine-tune on private GPU infrastructure
Evaluate: Benchmark against quality standards
Deploy: Launch with monitoring and versioning
Iterate: Improve with new data and feedback
Industries We Serve
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Frequently Asked Questions
What models can you fine-tune?
Llama, Mistral, Phi, Qwen, and other open-weight models.
How much training data needed?
Effective fine-tuning can start with 500-1000 quality examples.
Will our data be exposed?
No. All training on your infrastructure.
How long does it take?
Training 1-3 days. Full process including data prep 2-4 weeks.
Cost comparison?
Fine-tuned models typically cheaper to run than large generic ones.
Fine-Tune AI for Your Business
Schedule a free consultation to assess your fine-tuning use case.