TuneTrain.ai

TuneTrain.ai

Fine-tune AI models with your augmented data

5.0
1 review

46 followers

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 gallery image
TuneTrain.ai gallery image
TuneTrain.ai gallery image
TuneTrain.ai gallery image
TuneTrain.ai gallery image
Free
Launch Team / Built With
Flowstep
Flowstep
Generate real UI in seconds
Promoted

What do you think? …

Pawel Sawicki
We built https://www.tunetrain.ai after spending many nights fine-tuning language models for ourself and our clients. The process was painfully slow, complex, and expensive for something that should feel creative. We wanted a tool that made fine-tuning as simple as adding few example records, augmenting them to a huge dataset and watching your model “learn”, like training a musician by ear instead of re-writing sheet music. That’s how TuneTrain.ai was born, a platform that automates dataset preparation, augmentation, and fine-tuning for small language models (SLMs). It lets you transform your data into a custom model: faster, cheaper, and fully compliant with the EU AI Act. In short: TuneTrain.ai makes custom AI training effortless, for developers, researchers, and startups who want build their own smart model without prior knowledge or the infrastructure pain.
Vladimir Lugovsky

Fine-tuning made simple - love it. Bringing augmented data and usability to model tuning is super valuable for small teams experimenting with AI. Congrats on the launch!

Pawel Sawicki

@vladimir_lugovsky Thank you Vladimir. More augmentation features to come.

Roozbeh Firoozmand

Can users pick architectures or just train on preselected ones? Congrats on the launch btw :))

Pawel Sawicki
@roozbehfirouz Thank you. The user can select from a variety of popular open source base models (2B - 20B), instruction as well as conversational… more to come. The trained distribution contains along the complete model with the weights merged, the LoRA and QLorA.
Nyun  Lilith

Love the “train by ear” metaphor. If TuneTrain really compresses data prep + augmentation + fine-tune into one flow, that’s a big unlock for SLMs.

Pawel Sawicki
@nyun_4 Thank you so much! Nyun, we keep you updated, as we’re working hard on more advanced augmentation techniques „presented simple“. Would love to stay in touch. Kind Pawel