Giuseppe Zappia

This hands-on workshop empowers you to revolutionize your personalization use cases by mastering the art of fine-tuning models using Parameter Efficient Fine-Tuning (PEFT). Dive into open source techniques like S-LoRA, LoRAX, and Punica to streamline the training and hosting of high-performance, scalable LoRA adapters.

Companies are relying more and more on machine learning (ML) to drive innovation in their business applications. As a result, they need tighter control and deeper transparency across the lifecycles of their ML models.