LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
Fine-tuning a language model doesn’t have to be daunting. In our previous post on fine-tuning models with Docker Offload and Unsloth, we walked through how to train small, local models efficiently using Docker’s familiar workflows. This time, we’re narrowing the focus. Instead of asking a model to be good at everything, we can specialize it:… ⌘ Read more