Custom Models
For organizations that need models tailored beyond what fine-tuning can achieve, LW AI offers custom model development services. We work with your team to build models from the ground up.
Custom vs Fine-tuned
| Aspect | Fine-tuned | Custom Model |
|---|---|---|
| Base | Existing model | Built from scratch or major architecture changes |
| Data needed | Hundreds of examples | Thousands to millions of examples |
| Time | Hours to days | Weeks to months |
| Cost | Pay-per-use | Project-based |
| Capability | Improved on existing tasks | Entirely new capabilities |
Process
- Discovery — Define requirements, success criteria, and constraints
- Data preparation — Collect, clean, and annotate training data
- Architecture design — Select or design model architecture
- Training — Train on LW AI's GPU cluster
- Evaluation — Benchmark against success criteria
- Deployment — Deploy as a private model with dedicated endpoint
- Iteration — Continuous improvement based on production feedback
Use Cases
- Industry-specific NLP — Models trained on proprietary industry data
- Multimodal systems — Custom vision + language pipelines
- Embedding models — Domain-specific vector representations
- Classification engines — High-accuracy categorization systems
Engagement
Contact enterprise sales to discuss your requirements. Typical engagement starts with a 2-week proof of concept.
Related
- Fine-tuning — Lighter-weight customization
- Private Deployment — Deployment options