Fine-tuning & EvalsFine-tuningData pipelineFixed budget
Synthetic Data Pipeline for Fine-Tuning
Groundtruth Labs · Remote (Global)
$9.5k fixed
The outcome
They need a clean, deduped, high-quality dataset to fine-tune a small model — generated, filtered, and validated by an automated pipeline.
The client
Groundtruth Labs — Remote (Global). A fine-tuning & evals build we delivered end to end.
The challenge
Build a pipeline that generates and curates training data for a domain fine-tune: synthesize examples, filter with quality checks, and produce a validated dataset.
What we built
- Generate and augment task-specific training examples
- Filter for quality, dedupe, and balance the set
- Deliver a documented, versioned dataset + fine-tune baseline
The stack
Stack: data pipelines, synthetic-data generation, and fine-tuning basics.
Want something like this?
Tell us what you're building and we'll scope it — most projects start within a week.