Cover Image for AI Friends Meetup (Toronto)
Cover Image for AI Friends Meetup (Toronto)
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AI Friends Meetup (Toronto)

Hosted by Dami & Kevin Michael
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Schedule

  • 6:00 - 6:15: Check-in and networking (arrive early)

  • 6:15 - 6:20: Intro

  • 6:20 - 7:15: Demos

  • 7:15 - 7:30: Closing / networking

Optional social after event:

https://maps.app.goo.gl/vzpxxf1wf4Vs9Roo9

Demo List

  • Jonathan Talmi with a demo of AI + gaming

  • Helena Yu and Luis Ticas with a demo of Multilingual Climate Chatbot leveraging advanced RAG architecture to make climate information accessible, inclusive, and actionable for all Torontonians.

  • Joe Noss with a demo of Publicus - Helping businesses navigate grants and regulations.

  • Millin Gabani with a demo of Keyflow's new interface to interact with LLMs.

  • David Ferris with a demo of embedding 3d objects + other AI cad stuff.

  • Brian Lambert with a demo of Pieces. Long term memory for developers that captures live context from browsers to IDEs and collaboration tools - all while processing data locally for maximum control.

  • Christo Mitov with a demo of Rootly

    • Rootly with a demo of an SRE agent that gets an alert and diagnoses the issue using Github PR's, Slack messages, and past Rootly incidents.

  • Tempo Labs

Thank you Tempo Labs for hosting the event at their office!

https://www.tempolabs.ai/

Tempo empowers anyone to generate and edit high-quality react code using natural language prompts and a visual code editor. This helps developers stay focused on writing business logic rather than CSS, helps designers ship pixel-perfect UIs without engineering, and helps teams move 10X faster by eliminating the design->code translation process.

Thank you to Rootly for sponsoring the event's pizza.

About Rootly:

https://rootly.com/

Rootly is hiring! Rootly is a fast-growing Canadian startup trusted by industry leaders like NVIDIA, LinkedIn, and Wealthsimple to supercharge their on-call and incident response. Our platform seamlessly integrates with your entire tech stack and leverages AI to help SREs and DevOps teams resolve issues faster, reduce downtime, and prevent repeat incidents. Our goal with AI is to fundamentally help companies tackle incidents more efficiently and ensure they don’t happen again

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Location
208 Adelaide St W
Toronto, ON M5H 1W7, Canada
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