Custom LLM Solutions
Fine-tuned language models and custom AI pipelines built specifically for your domain and use case.
Bir Konuşma BaşlatınWhy Choose This Service
Domain Expertise
Models trained on your industry's terminology, patterns, and standards — far more accurate than generic AI for specialized tasks.
Data Privacy
Run models on your own infrastructure. Your data never leaves your control, meeting the strictest compliance requirements.
Cost Efficiency
Smaller, specialized models that outperform large generic models on your specific tasks — at a fraction of the inference cost.
Continuous Improvement
Models that learn from feedback and new data, improving accuracy over time without expensive full retraining.
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Data Preparation
We curate, clean, and format your training data with quality checks and bias assessment.
Training & Evaluation
Fine-tune the model with rigorous evaluation benchmarks to ensure it meets your accuracy and quality standards.
Deployment & Serving
Optimized model serving with ONNX or vLLM for low-latency inference, plus monitoring and retraining pipelines.
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Frequently Asked Questions
When should I fine-tune vs. use RAG?
Fine-tune when you need the model to learn new behaviors, styles, or domain-specific reasoning. Use RAG when you need the model to reference specific, frequently changing documents. Many production systems use both.
How much data do I need for fine-tuning?
For targeted tasks, 500-2000 high-quality examples can dramatically improve performance. For broader domain expertise, 10,000+ examples are recommended. We help assess data quality and quantity requirements.
Can fine-tuned models run on-premise?
Yes. We deploy models using ONNX runtime or vLLM on your servers or private cloud. GPU requirements depend on model size — we help spec the hardware you need.
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