Model Fine Tuning with - Human in the Loop (HITL)
Integrate human feedback into your ML model fine-tuning process to enhance accuracy, domain relevance, coherence and minimize hallucination.

Key Benefits of Fine-Tuning with Human Review
Enhanced Accuracy
Coherent & Relevent Output
Higher Model Reliability
Domain Adaptation
Edge Case Handling
Minimized Hallucination
Our Approach to Integrate Human Review in Model Fine-Tuning
We enable our customers to fine tune AI models with expert human feedback, review and correction, enhancing model accuracy, coherence and relevance.

Key Services Provided by Our Experts
With our Human-in-the-Loop (HITL) fine tuning services, our experts enable you to harness real power of your data, our expertise and human insights to produce AI/ML models that generate superior quality output.
Human Review & Correction
We provide structured review of model outputs, generating high-quality correction data that rectifies biases, inaccuracies, and contextual gaps. This feedback loop enables you to fine-tune models for precise, relevant, and trustworthy output.
Data Enrichment by Expert Annotation
Contextual Evaluation of Model Output
Preference Scoring & Ranking
Our human evaluators rank model outputs by preference and score response quality. This prioritized ranking and scoring allow the model to be fine-tuned to align with nuanced human preferences.
Content Curation Services
With our content curation service, human experts review and refine AI-generated content. This curated content can be used to fine-tune the model, enhancing the fluency, accuracy, and coherence of its output.
Adversarial/Edge Case Testing
We provide testing services to refine model output for adversarial scenarios. By testing model output for edge cases, we uncover vulnerabilities and enhance resilience for diverse scenarios.


Get Started Today
1. Contact Us
2. Get a Consultation
3. Estimate Budget
4. Kickoff Project
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