Our Method
Last updated April 7, 2026
How TuneSalon trains your custom AI: fast, affordable, and without touching the base model.
The Old Way vs Our Way
Traditionally, fine-tuning an AI model meant retraining the entire thing from scratch. Every single parameter, billions of them, gets updated. This requires enormous computing power, takes hours or days, and costs a fortune. It's like rebuilding an entire car just because you want a different paint colour.
TuneSalon uses a much smarter approach. Instead of changing everything, we create a small adapter that sits on top of the base model. The result is the same: a custom AI that behaves the way you want. But it's faster, cheaper, and far more practical.
Hours of training, expensive hardware, huge files
Minutes of training, low cost, tiny files
LoRA Explained Simply
The technique we use is called LoRA (Low-Rank Adaptation). Don't worry about the technical name. Here's what it actually means.
Imagine a professional camera. The camera body is powerful and versatile; it can take great photos in any situation. But when you want a specific look (portrait bokeh, wide landscape, macro close-up), you don't rebuild the camera. You swap the lens.
LoRA works the same way. The base AI model is the camera body. Your custom training creates a small adapter, the lens. It sits on top of the base model and adjusts how it responds, without changing the model itself.
One base model, many adapters, like one camera body with different lenses for different jobs.
This means:
- The base model stays untouched and can be used with different adapters.
- Your adapter is tiny, just a few megabytes instead of several gigabytes.
- You can swap adapters in and out instantly, like changing a camera lens.
- You can even stack up to 5 adapters together to combine different skills.
Why This Is Better for You
LoRA isn't just a technical shortcut. It directly benefits you:
- Faster training. What used to take hours now takes minutes.
- Lower cost. Less computing power means fewer credits for the same result.
- Small files. Adapters are just a few megabytes. Easy to store, download, share, or sell on the marketplace.
- Flexibility. Keep multiple adapters for different purposes and switch between them in seconds.
- No hardware needed. TuneSalon runs training on powerful cloud GPUs behind the scenes. You just need a web browser.
What Happens During Training
Here's what happens behind the scenes when you train a model on TuneSalon:
The whole process typically takes just a few minutes.
- Upload your training data: examples showing the AI how you want it to respond. Q&A pairs, conversation transcripts, writing samples, anything that demonstrates the style and knowledge you're after.
- Pick a base model: choose from TuneSalon's curated list. Each one has different strengths and sizes, and we recommend the best fit for your needs.
- We train the adapter. TuneSalon handles the heavy lifting on cloud GPUs behind the scenes. You can watch the progress in real time.
- Get your adapter: save it to your library, download it, or start chatting with it immediately. Your training data stays tied to your account and isn't shared with anyone else.
Quality & Control
The default settings work well for most people. Just upload data, pick a model, and go. If you want to experiment, three controls are available in plain English:
For most use cases, the defaults are exactly right. The controls are there when you want them, but you'll never need to touch them to get great results.
Ready to Start?
You've got the full picture: what fine-tuning is, where it shines, and how TuneSalon makes it work. The best next step is to create a small training dataset and try it yourself.