Join us for an insightful session with Wesley, an AI GDE as he introduces the fundamentals of fine-tuning Gemma 3 models using the Gemma Library. This session will explore how to adapt Gemma 3 for specific tasks or domains through supervised fine-tuning and parameter-efficient techniques like LoRA. Whether you're a beginner looking to understand model fine-tuning or a practitioner ready to experiment, you'll learn how to: - Set up your environment for Gemma 3 - Prepare and format your datasets - Configure training parameters effectively - Run fine-tuning experiments using the Gemma Library with ease Come ready to dive into practical workflows and take your understanding of model customization to the next level!