Preparing the dataset for further training of the model
From the chaos of your correspondence, tickets, documents and logs, we create a clean labeled dataset on which you can further train the model for your task. The output is data ready for fine tune, with anonymization and a quality report.
A clear scope, a calm process.
The final estimate is confirmed after a short brief. You see the milestones before work begins and receive the source materials at handoff.
- 01
Response-quality evaluation, cost limits, logging and a safe shutdown procedure
- 02
A concise brief and an agreed scope before work begins
- 03
An interim review with a clear project status
- 04
Final testing, source handoff and practical instructions
Ratings from real accounts.
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