Fine Tune a model native to your product
FlexAI keeps the workflow predictable so you can focus on results, not infrastructure.
01
Bring your data
Connect your datasets from cloud storage or upload directly.
02
Pick a checkpoint
Start from a foundation model or continue from a previous run.
03
Run a job you can trust
Managed execution with retries, checkpoints, and monitoring built in.
04
Ship a model that meets your customer needs
Deploy directly or export for evaluation and iteration.
Fine Tuning Execution
Choose the fine tuning approach that fits your goal
Optimize for accuracy, simplify execution, or let the platform orchestrate everything.
Model quality first
Quality focused
- Optimize for accuracy, precision, and F1 score
- Evaluate, iterate, and optimize faster using proven fine tuning recipes
- Support for domain and task specific adaptation and optimization
- Automatic evaluation pipelines with metric tracking
Tip: Start with accuracy to validate quality. Use ease for multi cloud execution. Scale with orchestration for production jobs.
LoRA Fine Tuning
Parameter efficient. Fast iteration.
Train a fraction of parameters with low rank adapters
Faster training cycles with lower GPU memory requirements
Stack and swap adapters without retraining the base model
Ideal for task specific adaptation and rapid experimentation
Full Fine Tuning
Maximum control. Deep adaptation.
Update all model weights for maximum domain alignment
Multi GPU parallelized execution with stable synchronization
Managed checkpoints with automatic versioning and rollback
Best for foundational shifts in model behavior and knowledge
Domain specific fine tuning at scale
Customize models for real world domains using optimized fine tuning workflows designed for accuracy, stability, and repeatability across long running jobs.
Fine tune with confidence across multimodal models- audio, text, vision, image without infrastructure management.
See it in practice: LegML's fine-tuning case study — a 32B legal LLM that outperformed a frontier model with 50% fewer parameters. Or read how DragonLLM fine-tuned financial models for sovereign deployment, and Pixelcut's pay-per-use image-gen fine-tuning.
Production ready blueprints
Start with one run you would proudly repeat
If you can describe the outcome, you are ready. Fine tune on FlexAI and keep your velocity.