Live from Toronto Machine Learning Summit!
We have been taking part in the Toronto Machine Learning Summit since 2023, when AI Makerspace was founded!
On Wednesday, July 18th, our team will be live in Toronto, and we’ll be running a workshop on RAG: The 2025 Best-Practice Stack, Prototype to Production.
However, there are a lot of other talks going on at TMLS, and during this podcast-style live event, Dr. Greg & The Wiz will provide an overview of common threads that they are taking away from the conference, as well as anything new that they’ve learned listening to the latest research and case studies.
Here are each of the talk tracks that are on the table to discuss!
Advanced RAG – Cutting-edge retrieval-augmented generation tactics that boost LLM grounding and accuracy.
Agents Zero To Hero – Road-tested frameworks for designing, evaluating, and shipping reliable AI agents.
AI Ethics And Governance Within The Organization – Playbooks for embedding accountability and trust-by-design across teams.
Executive – C-suite panels on steering and monetising AI under tight regulatory and data-readiness constraints.
AI for Productivity Enhancements – Case studies where GenAI turbo-charges dubbing, document workflows and graph-powered search.
Data Preparation and Processing – Practical LLM tricks for cleaning, imputing and readying messy enterprise data.
Future Trends – Research spotlights from URIEL+ language vectors to DeepMind’s vision for world-model agents.
GenAI Deployments in Regulated Industries – Hard-won lessons on launching and governing GenAI amid stringent compliance.
Hardware Platforms – Deep dives into training pipelines optimised for AMD Instinct GPUs and alternative silicon
Inference Scaling – Chips, toolchains and techniques that slash large-model latency and cost.
Negative Results – Frank post-mortems on why AI initiatives stall and how to dodge common pitfalls.
Traditional ML – Fresh insights into unsupervised learning, causal forecasting and graph ML beyond the LLM hype.
Vertical Enterprise AI Agents In Production – Domain-specific agent architectures that turn proprietary data into working copilots.
Multimodal LLMs – Breakthroughs in video, speech and diffusion driving richer multimodal AI experiences.
In-Person Workshops – Hands-on labs covering RAG stacks, RL-for-LLM safety, large-scale training and more.
Virtual Day – A remote-friendly sampler featuring smol LMs, memory-driven personalisation and privacy-safe synthetic data.
We’ll also dig deep into the important question that we (and you!) want the answers to:
Are there any great examples of multi-agent applications in production?
What is the real deal when it comes to putting RAG applications into production in 2024-2025? What are the unique tradeoffs that are being made at scale today?
Toronto’s largest industry is Financial Services and Banking - what are the killer use cases for production LLM applications in Toronto, and what’s on the horizon?
🧠 Join us live to explore what’s happening at the conference remotely! You’ll get insight into what it’s really like at a state-of-the-art Generative AI conference in one of the largest AI markets in North America: Toronto.
📚 You’ll learn:
Our big takeaways, including what tools and techniques we heard the most about
What lessons Dr. Greg & The Wiz have learned about production LLM applications in practice
How the conference compares to the last two years, and what we expect moving forward
🤖 Who should attend:
Anyone interested in seeing inside a Generative AI conference
People curious to learn about the state-of-the-art in AI in a major market like Toronto, CA
Anyone who attends our events weekly and loves to build, ship, and share
Speakers:
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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