
What we’re about
Explore the intricate dance between theory and application at the forefront of AI and ML innovation. Join our AI/ML Engineering community, a subgroup of the RMAIIG (Rocky Mountain AI Interest Group).
At our AI/ML Engineering gatherings, we alternate between deep dives into the theoretical underpinnings of machine learning and artificial intelligence (reading papers and discussing the latest research) and discussions tackling real-world development challenges (how do you fine tune your embedding model for a RAG? why should you check out Mojo?). Our group is a melting pot of theorists, developers, researchers, and tech enthusiasts, all united in a quest to push the boundaries of AI and ML.
Whether you’re a seasoned academic, a budding engineer, or simply fascinated by the ever-evolving landscape of AI and ML, our group values and thrives on a diversity of perspectives and skill levels. Engage in thought-provoking discussions, collaborate on cutting-edge projects, and stay abreast of the latest advancements in the field.
To stay connected, join our Slack channel. This is your gateway to a community passionate about the future of AI and ML, and to discover what other AI and ML enthusiasts are doing around the globe.
For inquiries or suggestions, don't hesitate to contact Andrew Spott via LinkedIn, or on slack as @spott.
Upcoming events (1)
See all- Deep Dive: MLX on Apple Silicon + Hands-On Fine-TuningFounder Central by Sweater, Boulder, CO
This month's RMAIIG AI Engineering Meetup will be a deep-dive with MLX. Built from the ground up for M-series Macs, MLX is Apple’s performance-tuned answer to PyTorch and JAX.
In this technical deep dive, we’ll explore how MLX works in practical hands-on ways, and what makes it different from the frameworks you already know. Then we’ll roll up our sleeves for a hands-on workshop: experimenting with BlossomTune-MLX, a federated fine-tuning framework designed specifically for MLX.
Expect to get your hands dirty with live demos, model fine-tuning, and practical workflows you can run on your own machine. Bring your MacBooks, your experience, your awesome questions, and raw curiosity.
As always, this will be even more fun than it sounds, and I'll bring the coffee!