11 Types of LoRA

As we discussed three Low-Rank Adaptation (LoRA) fine-tuning methods in our latest AI 101 episode, we decided to add more useful articles to our library about different types of LoRA that can be used for various purposes. LoRA itself is one of the most popular and efficient fine-tuning techniques. It modifies only a small subset of the model's parameters, making fine-tuning easier and faster, and requiring less memory.

However, there are many ways to upgrade LoRA for specific scenarios, making it even more efficient for multitasking, working with diverse datasets, reducing memory usage, increasing stability, etc.

So, here are 11 types of LoRA that you can use to enhance fine-tuning: