In this session, we’ll explore how to fine-tune Gemma models using Keras and LoRA (Low-Rank Adaptation)—an efficient method to adapt pre-trained models for specific tasks while reducing computational costs. You’ll learn how to leverage LoRA to enhance model performance without retraining the entire model, making it more efficient and practical for deployment on resource-constrained devices.
Join Eman Elrefai, an NLP Engineer, to discover how to get the most out of modern language models while maintaining performance efficiency and cost-effectiveness. This session is ideal for researchers and developers interested in optimizing NLP models with advanced techniques.
