Model Fine-Tuning and RAG Integration
Models that speak your industry's language, trained on your data.
Generic foundation models don't know your products, your terminology, your clients, or your regulatory context. Fine-tuning trains a model on your proprietary data, producing dramatically better accuracy, consistency, and domain alignment than prompt engineering alone. We handle the full pipeline: data preparation, training, evaluation, and integration into your existing software stack.
Book a free consultationWhat this covers
Training Data Preparation
Clean, structure, and format your existing data assets into high-quality training sets with deduplication and quality filtering.
Fine-Tuning Execution
Run supervised fine-tuning, RLHF, or DPO training on base models using your infrastructure or ours, with full experiment tracking.
Evaluation & Benchmarking
Rigorous evaluation against domain-specific benchmarks to quantify improvement over the base model.
Integration & Deployment
Package the fine-tuned model and integrate it into your application stack with versioning and rollback support.
How the engagement runs
- 01
Data Audit
Assess your existing data assets for quality, volume, and suitability for training.
- 02
Dataset Construction
Build and validate the training dataset, including augmentation if needed.
- 03
Training & Evaluation
Execute training runs with hyperparameter optimization and comprehensive evaluation.
- 04
Deployment & Handover
Deploy the model into production with full documentation and monitoring setup.
What you get
Figures are drawn from Senteras engagements and are illustrative of typical results. Outcomes vary by data quality, infrastructure and scope.
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Technology alone doesn't transform organizations, people do.
Start with a conversation, not a proposal
Thirty minutes. We will tell you what we would change first, and whether you need us at all.
Book a callThe firm behind the firm