Use Case
Model Fine-Tuning
Adapt models to your domain, terminology and tasks – from style transfer and brand tone to domain-specific reasoning – all inside controlled Arion workspaces.
What this solves
- Generic models that don’t “get” your products or language.
- Experimentation stuck in notebooks or one-off scripts with no repeatable path to production.
- Concerns about where training data and weights are stored and who can access them.
How Arion Flow helps
- Run fine-tuning jobs inside your Arion workspace with clear separation per project or client.
- Connect to your object storage for datasets; keep data and resulting checkpoints under your control.
- Promote tuned models into your creative or agentic workflows with consistent versioning.
Example flows
Brand-tone LLM: fine-tune a model on past campaigns, blogs and docs so it writes like your brand out of the box.
Support classifier: train a model to categorise tickets, intent, or sentiment and feed it into downstream automations.
Vision fine-tuning: adapt image models to your product catalogue or specific visual style.