Point-and-click fine-tuning makes custom AI accessible to non-technical users. Choose from 60+ Hugging Face models, upload your data, and train custom models that understand your business—no ML expertise required.
No ML expertise needed—just select your model, upload data, and train
Upload your training data with drag-and-drop simplicity. Built-in validation ensures your data is formatted correctly. Minimum 100 examples to start training.
Access 60+ pre-trained models from Hugging Face including Llama, Mistral, Flan-T5, and more. Browse the catalog and select the best model for your use case.
Point-and-click controls for learning rate, batch size, and epochs with intelligent defaults. ML-driven recommendations guide you to optimal settings without expertise.
Track training progress in real-time with detailed metrics, loss curves, and validation scores. Identify issues early and optimize training runs.
Test models against benchmark datasets and custom test sets. Compare performance across training runs to select the best model for deployment.
Deploy fine-tuned models instantly to production endpoints. Scale automatically and integrate seamlessly with your existing AI applications.
Select the optimal approach based on your hardware and requirements
Adds small trainable matrices to model layers while freezing original weights. Memory efficient with 90% less than full fine-tuning and faster training times.
LoRA with 4-bit quantization of the base model. Extremely memory efficient with 95% less than full fine-tuning. Fine-tune large models on limited hardware.
Updates all model weights for maximum customization potential. Requires most computational resources but delivers highest performance for specialized tasks.
Fine-tuned models deliver better results at lower costs
No ML expertise required. Point-and-click interface with guided workflows makes fine-tuning accessible to business users, not just data scientists.
Models learn your industry terminology, business context, and specific requirements. Achieve accuracy that generic models cannot match.
Fine-tuned models require shorter prompts and produce more accurate outputs, reducing token usage and costs by up to 80%.
Your training data stays private and secure. Fine-tuned models are yours exclusively, ensuring competitive advantage and compliance.
No ML expertise needed—just point, click, and train custom models for your business