Fine-tuning Small Models

Join us at our Seattle headquarters for a deep dive into optimizing performance for latency-critical applications. We move beyond massive parameters to examine how techniques like LoRA, QLoRA, and model distillation allow you to deploy efficient, high-performing AI directly on the edge. This session bridges the gap between theoretical research and practical implementation for resource-constrained environments. Whether you are building real-time voice assistants or private, on-device analysis tools, you gain clear insights into shrinking your footprint without sacrificing accuracy. We connect local developers and engineers to share workflows, troubleshoot deployment bottlenecks, and refine the small-model lifecycle in a hands-on, collaborative atmosphere.