Fine-tune AI models with your augmented data
TuneTrain.ai - Fine-tune AI models with your data TuneTrain.ai lets anyone fine-tune small language models easily - no coding or huge datasets needed. Create example records, augment them into large datasets, and train your own custom AI.
TuneTrain.ai provides an end-to-end platform to upload datasets (CSV/JSONL), fine-tune from curated SLMs (Llama 3, Mistral, Phi-3, Gemma, etc.), and download trained models. Users retain full ownership and can deploy models commercially without restrictions.
TuneTrain.ai supports instruction fine-tuning to train models with task-specific capabilities. Users can structure datasets with instruction-input-output format and fine-tune models to understand and execute specific business tasks without requiring ML expertise.
TuneTrain.ai focuses on small language models optimized for efficiency and performance (3B-14B parameters). Platform requires no technical background, handles complex training automatically, and produces models that run faster and cheaper than large LLMs while maintaining performance.
Platform offers dataset augmentation that automatically generates synthetic data variations and record-based expansion. LLM-based distillation enhances training data quality by generating high-quality examples, helping models learn better patterns with limited data.
Platform provides enterprise-grade security with encrypted data processing, EU AI Act compliance, GDPR adherence, and SOC 2 compliance. User data is never used to improve the platform or shared with third parties; datasets and models remain private to the account.