Meetups & Events

We explored critical questions for contributors and builders alike: How do you know when to donate your valuable time to a project? And how does a project's fundamental organization dictate how far your contributions go?

Your domain-specific model achieves 85.3% accuracy, but production requires 95%+. What do you do? Discover how ensemble models and multi-source data synthesis can bridge the gap when single GenAI models fall short. Learn about the "judge pattern" that achieved 100% accuracy with explainability and cost-effectiveness.

Explore the challenges of deploying machine learning models to production environments and maintaining their performance over time. This session dives deep into model drift, monitoring strategies, and best practices for keeping your ML systems reliable and accurate.

Join us for the official launch of The Applied Machine Learning Collective of the Rockies! This foundational event brings together AI/ML practitioners from across the region to network, share ideas, and shape the future of our community.