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Professional ServicesProfessional ServicesDeployed on AWS
LLM Fine-Tuning Services
Foundation Models → Domain Experts
End-to-end LLM fine-tuning. Parameter-efficient LoRA, full-weight fine-tuning, RLHF, DPO — from dataset curation to deployed model behind your API.
by Yobitel4.9— deploys
Engagement model
A Yobitel engineering pod runs the full fine-tuning lifecycle for you — from dataset auditing to a deployed model behind your endpoint.
Techniques
- Parameter-efficient: LoRA, QLoRA, IA³
- Full-weight: continued pre-training and instruction tuning
- Alignment: RLHF and DPO with reward-model training
- Quantization-aware fine-tuning for edge deployment
What you get
- Evaluated model checkpoint (private weights, your IP)
- Reproducible training recipe
- Deployment behind a Yobibyte workspace endpoint
Pricing model
Fixed-scope engagement
Engagements from $24,999
AWS regions
6 regions
us-east-1, us-west-2, eu-west-1 +
Vendor
Yobitel
Professional Services
LLMFine-TuningLoRAServices