LangChain Meetup: Future of AI: Owning Your Intelligence with Open-weight Models (Toronto)

Join us for an evening in Toronto with Haider Zaidi, Deployed Engineer @ LangChain, and Satya Krishna Gorti, Staff Machine Learning Engineer @ Layer 6 / TD.

In this meetup, Haider will discuss owning your intelligence with open-weight models and delve into:

the importance of open-weight models in the AI ecosystem

productionalising open-weight models for enterprise AI platforms

platform decisions to support open-weight models

Then, Satya will be taking about TD's experience with open-weight models, considerations of using Open Weight in FSI, lessons learned from deployment.

Featuring:

Haider Zaidi, Deployed Engineer @ LangChain

Satya Krishna Gorti, Principal Research Scientist @ Layer 6 / TD

​Agenda ⏰

5:15 PM: Doors Open + Refreshments + Pizza

6:00 PM: Presentation with Haider Zaidi (LangChain) - Owning Your Intelligence with Open-Weight Models

6:20 PM: Presentation with Satya Krishna Gorti (Layer 6/TD Bank) - Open-Weight Models, Considerations of using Open Weight in FSI, and Lessons Learned from Deployment

6:40 PM: Q&A Session

6:55 PM: Networking + Pizza + Refreshments

8:30 PM: Event Ends

🎤 Please note this event is fully in-person in Toronto and will not be live-streamed online

📍 Location: MaRS Discovery District – address provided upon approval.

🎟️ We can only admit guests with approved registrations. If you’re still on the waitlist or haven’t received a confirmation yet, please stay tuned for future events—but please sit this one out.

About the host:LangChain enables every company to own their intelligence. LangChain's open, model-agnostic harnesses give teams choice and control over how they build their agent architecture. LangSmith brings testing, deployment, and monitoring together so teams can continuously improve their agents, compound intelligence, and govern them at scale. More than 7,000 customers, including Nvidia, Bridgewater, LinkedIn, Workday, Harvey, and Rippling trust LangSmith to improve their agents across the Agent Development Lifecycle. Learn more: www.langchain.com