
Welcome to the GenAI and LLMs meetup in Toronto, in collaboration with AWS. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.
Agenda:
* 6:00pm~6:30pm: Checkin, Food/drink and networking
* 6:30pm~8:30pm: Tech talks and Q&A
* 8:30pm~9:00pm: Open discussion and Mixer
Tech Talk: DeepSeek & Beyond: The Latest in Generative AI Architecture on AWS
Speaker: Mehran Najafi (AWS)
Abstract: Discover the cutting-edge capabilities reshaping AI development on AWS Bedrock in this comprehensive session. We'll explore the game-changing features recently introduced, including the sophisticated Multi-Agent Architecture that enables complex AI interactions, and the breakthrough Amazon Nova LLMs that deliver exceptional performance with minimal latency and cost. Learn how Knowledge Bases now support structured data, opening new possibilities for enterprise-scale AI applications.
A special focus will be placed on the DeepSeek LLM integration with AWS Bedrock, examining its unique capabilities, performance characteristics, and implementation strategies.
Tech Talk: ML Made Easy: UC Functions for Databricks in Action
Speaker: Wesley Dias (Databricks)
Abstract: In this talk, we will explore the capabilities of Unity Catalog (UC) and how it can be leveraged to integrate various machine learning (ML) packages using Databricks. Unity Catalog provides a unified governance solution for all data and AI assets, enabling seamless collaboration and management across different platforms. We will delve into UC Functions with tool integrations, and demonstrate how these features can be utilized to enhance the integration of ML packages. Additionally, we will discuss how UC Functions can be effectively used with AWS to ensure optimal performance and scalability. Attendees will gain insights into best practices for implementing UC in their ML workflows, ensuring data consistency, security, and compliance.
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Venue:
Amazon Office, 18 York, 7th Floor, Rooms 103-104, Toronto
Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Toronto or 450K+ worldwide.
Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers;