AI
AI Model Training
Train and fine‑tune models with robust evaluation, safety, and deployment practices.
Training & Fine‑Tuning
- Data curation, labeling, and augmentation
- Hyperparameter search and optimization
- Guardrails, red‑teaming, and safety
Evaluation & Delivery
- Automatic evals and human‑in‑the‑loop QA
- Latency, cost, and quality trade‑off tuning
- Deployment, monitoring, and rollback strategies