Low-Rank Adaptation of LLM

Often, when working with LLM models, you don’t have the opportunity to train it from scratch due to lack of technical resources or time. However, with LoRA Tuning, you can easily adapt existing models such as GPT or Gemini to your needs with minimal changes to the architecture, while maintaining their flexibility and power. With LoRA, models can adapt more quickly to specific tasks and domains without sacrificing overall performance. 

This opens up new horizons for the personalization of artificial intelligence, making it more accessible and effective for a variety of applications. Implementation of LoRA is a step forward in creating intelligent systems that better understand and respond to different needs.

https://ai.google.dev/gemma/docs/lora_tuning