Discover how Lora allows for efficient real-time model adjustments, enabling a single GPU to manage multiple fine-tuned models without overwhelming memory limits. The discussion highlights the cost-effectiveness of using Lora for fine-tuning, emphasizing that while foundational training is expensive, the real financial burden lies in the operational phase. This innovative approach transforms how models can be utilized, making it easier to cater to diverse user needs.
