Scoped
Priced per engagement
Build or Co-build
Engagement mode
AI & Machine Learning
Practice area
OVERVIEW
What we do here.
A general model writes like the internet. Fine-tuning teaches it to write like your business instead, using your documents, your terminology and the way you actually talk to customers.
It is not always the right answer. Careful prompting solves a good share of it for a fraction of the cost, and we will say so when that is true. Fine-tuning earns its cost when tone and terminology have to be right every single time, not most of the time.
What decides the result is the quality of the examples you can provide. Real documents, real answers, real correspondence. Retraining later is normal, because businesses change their language and their policies.
COMMON QUESTIONS
The questions we get asked about Generative AI Fine-Tuning Solutions
How the model responds. Trained on your documents, your tone and your terminology, it stops producing generic answers and starts producing ones that sound like they came from your business.
Often prompting is enough and cheaper, and we will say so. Fine-tuning earns its cost when the tone or the terminology has to be consistent every single time.
Examples. Real documents, real answers, real correspondence. The quality of those examples decides the quality of the result more than anything else.
Yes. Businesses change their language and their policies, and retraining is a normal part of owning a tuned model rather than a rebuild.
CREATE THE FUTURE
Let us build your future.
Bring us a plan or just an idea. We will arrange a discovery meeting with you to go through it.