The concept
A foundation model learns general capabilities from broad data. Fine-tuning then specializes it: showing it examples of a specific kind of work — support resolutions, contract review, financial reconciliation — until it performs that work well.
Why it drives data demand
- Fine-tuning needs domain-specific examples, not generic web text.
- The best examples are real records of the work being done well.
- Every industry and function needs its own examples — multiplying demand.
The evaluation connection
After fine-tuning, developers need real task-and-outcome data to verify the model actually improved — a second demand for the same kind of company records.
What this means for partners
Companies with 50+ full-time employees at peak hold exactly the domain examples fine-tuning requires. Introduce one to SourceX; if a deal closes and SourceX collects its fee, you earn 25% of that fee, up to $100,000 per company.
Refer a company · How rewards work
Common questions
What is AI fine-tuning?
Fine-tuning is the process of specializing a general AI foundation model by providing it with targeted examples. This teaches the model to perform a specific task or function effectively, such as contract review or financial reconciliation.
Why is real business data important for fine-tuning?
Real business data, or domain-specific examples, are crucial because they allow AI models to learn the specific nuances of a task or industry. Generic web text is not sufficient for achieving specialized performance in areas like support resolutions.
How does fine-tuning impact data demand?
Fine-tuning significantly increases data demand because it requires domain-specific examples rather than general information. Each industry and business function needs its own unique set of real task records to train models effectively.
What data do developers need after fine-tuning?
After fine-tuning, developers require real task-and-outcome data to evaluate if the model's performance has genuinely improved. This creates a secondary demand for the same type of company records used for the initial training.
