Supervised-fine tuning
Pre-trained models aren't enough. Fine-tune models that understand your domain and specific output expectations.
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Brian
Boston, United States
Medical AI Fine-Tuning Expert
About
Board-certified radiologist specializing in medical AI development and clinical case annotations for ML model training. Expert in diagnostic reasoning frameworks and systematic fine-tuning.
Expertise
Industries
Trusted by the world's best
Challenges with SFT
Quality domain data scarcity
Getting domain-specific, expert-level proprietary data is hard.
Domain-specific annotators
Training examples requires deep subject matter knowledge.
Measuring Fine-Tuning
Measuring effectiveness of fine-tuned models on real-world tasks.
Overfitting
Making fine-tuned models better at specific tasks without breaking their general capabilities.
Domain-experts to tune models for your specific domain
Expert Quality
Our evaluation teams combine the highest quality of subject matter experts with AI evaluation specialists, ensuring you get "excellent performance" in your domain.
Supervised Fine-Tuning
Emma
Quantitative Risk Analyst
Margot
Financial Data Scientist
Celeste
Regulatory Compliance Validator
Stellan
Credit Scoring Model Developer
Measuring Fine-Tuning Effectiveness
Test your fine-tuned model's actually effectiveness over the base model on real-world tasks. Know how much you've improved on domain performance.
Pre-Trained Model
Medical Q&A Performance
68%
Accuracy
71%
Precision
65%
Recall
Diagnosis Classification
0.68
F1 Score
32%
Error Rate
Fine-Tuned Model
Medical Q&A Performance
89%
Accuracy
92%
Precision
92%
Recall
Diagnosis Classification
0.89
F1 Score
11%
Error Rate
Ramp-up Flexibility
Recruit from 1000's of trained and high-quality evaluation and domain experts, who can help you manage from small to large-scale evaluation projects while maintaining annotation quality and consistency across your entire dataset.
Project requirements
Location
USA
Canada
Industry
Fintech
Banking
Job role
Financial Data Scientist
Clear all
Avery
Fin. Data Scientist
Kyle
Fin. Data Scientist
Dylan
Fin. Data Scientist
Balancing Specialization vs. Generalization
Make models better at your specific tasks without breaking their general capabilities. Understand how over-fine-tuning can make your specific model better or worse.
Medical Report Analysis
Performance Comparison: Before vs After Fine-Tuning
Medical Analysis
Technical Writing
Math Problems
Creative Writing
Before Fine-Tuning
After Fine-Tuning
Expert-led supervised fine-tuning examples
Brand Voice
Fine-tine your models to write in your specific brand voice, tone, and messaging style.
Process-Specific Workflows
Automate company-specific workflows and procedures that generic AI doesn't understand.
Technical Documentation
Generate documentation that follows your exact formats, standards, and technical conventions.
Customer Service Automation
Handle customer queries using your specific product knowledge, policies, and support processes.
Ready to evaluate your model. Get started in 48 hours.
Join leading AI teams who've improved their models with deep domain expert feedback
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