Custom Model Training & Distillation
Domain Models Trained On Your Data With Continuous Evaluation
Training domain models on curated corpora, applying NeMo and LoRA distillation, and wiring evaluation harnesses so accuracy stays high while latency and spend drop.
Key Capabilities
Domain-Specific Fine-Tuning
Train foundation models on your curated corpora for superior performance on specialized tasks.
Model Distillation
Compress large models into efficient variants using NeMo microservices and LoRA techniques.
Evaluation Harnesses
Automated testing frameworks measuring accuracy, latency, toxicity, and task-specific metrics.
Red Team Testing
Adversarial testing, jailbreak detection, and safety validation before production deployment.
Technology Stack
Use Cases
- ✓Training legal models on case law and regulatory documents
- ✓Medical AI trained on clinical notes and research papers
- ✓Financial models for risk analysis and compliance
- ✓Customer service models with domain-specific knowledge
- ✓Manufacturing models for quality control and inspection
Key Benefits
Superior accuracy on domain-specific tasks
Lower latency with distilled, optimized models
Reduced inference costs through model compression
Continuous improvement with automated retraining
Full control over model behavior and outputs
Ready to Transform Your AI Infrastructure?
Let's discuss how Custom Model Training & Distillation can accelerate your AI initiatives.
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