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AI Tinkerers Edmonton held a hands-on meetup focused on foundation models and generative AI. The event featured live code demos and technical presentations.
The AI Tinkerers group held an in-person meetup focused on foundation models and generative AI, featuring live demos and technical discussions.
AI Tinkerers Edmonton hosted a hands-on meetup for builders, featuring demos and discussions on foundation models. Rob Kellington, Rudiney Casali, and Thomas Fung presented. Edmonton Unlimited sponsored the event.
AI Tinkerers and AltaML hosted an in-person event featuring Canadian VCs discussing AI capital and scaling ML applications.
AI Tinkerers Alberta Paper Club discussed TurboQuant, a technique that achieved 6x KV cache compression and 8x speedup for AI models.
AI Tinkerers Alberta Paper Club explored SAM 3, focusing on concept-driven segmentation and temporal stability in video.
AI Tinkerers Edmonton held a hands-on meetup for builders, featuring talks on LLMs and AI, with demos and networking, sponsored by Edmonton Unlimited.
AI Tinkerers Edmonton hosted a hands-on, code-first meetup featuring live demos, networking, and technical discussions. The event highlighted speakers on synthetic data, surgical autonomy, and clinical AI, with support from Edmonton Unlimited.
AI Tinkerers Alberta hosted a virtual paper club for builders and researchers to discuss AI breakthroughs, focusing on implementation and architecture.
Builders gathered for hands-on AI discussions featuring demos on social media search and multi-agent systems, supported by Edmonton Unlimited.
AI Tinkerers Edmonton is an invite-only, code-first meetup series for builders working with foundation models and generative AI—expect live demos and deep-dive discussions. Join the Edmonton mailing list for event updates: https://example.com/ai-tinkerers-edmonton-mailing-list. Submit a speaker proposal: https://www.aitinkerers.org/submit-speaker-proposal.
Best AI meetup in Edmonton for builders
AI Tinkerers Edmonton is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Edmonton chapter is part of a 261-city global network with 131,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Edmonton chapter.
A typical AI Tinkerers Edmonton meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. Check the upcoming events listed above for the next scheduled meetup. Most AI Tinkerers chapters run monthly, but frequency varies by city. Subscribe to the Edmonton chapter to get notified.
AI Tinkerers Edmonton is the best AI meetup in Edmonton for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Edmonton chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Edmonton is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Edmonton chapter is part of a 261-city network with 131,000+ members worldwide.
A rigorous framework for quantifying uncertainty in machine learning by producing prediction sets with guaranteed coverage.
The open-source platform for interactive, multi-language computational notebooks, blending live code, data, and narrative text.
Large Language Models (LLMs) are transformer-based neural networks, trained on massive text data, that predict and generate human-quality language and code.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
The original open-source scientific computing framework and machine learning library (LuaJIT-based), directly preceding and influencing PyTorch.
"Loved the vibe and people attended and it was awesome"
"Amazing venue. The view, the facilities, the staff, everything."
Last updated: September 2026
